Erik Laurini1, Domenico Marson1, Suzana Aulic1, Alice Fermeglia1, Sabrina Pricl1,2. 1. Molecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), DEA, University of Trieste, 34127 Trieste, Italy. 2. Department of General Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, 90-136 Lodz, Poland.
Abstract
The coronavirus disease-2019 (COVID-19) pandemic, caused by the pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), started in China during late 2019 and swiftly spread worldwide. Since COVID-19 emergence, many therapeutic regimens have been relentlessly explored, and although two vaccines have just received emergency use authorization by different governmental agencies, antiviral therapeutics based neutralizing antibodies and small-drug inhibitors can still be vital viable options to prevent and treat SARS-CoV-2 infections. The viral spike glycoprotein (S-protein) is the key molecular player that promotes human host cellular invasion via recognition of and binding to the angiotensin-converting enzyme 2 gene (ACE2). In this work, we report the results obtained by mutating in silico the 18 ACE2 residues and the 14 S-protein receptor binding domain (S-RBDCoV-2) residues that contribute to the receptor/viral protein binding interface. Specifically, each wild-type protein-protein interface residue was replaced by a hydrophobic (isoleucine), polar (serine and threonine), charged (aspartic acid/glutamic acid and lysine/arginine), and bulky (tryptophan) residue, respectively, in order to study the different effects exerted by nature, shape, and dimensions of the mutant amino acids on the structure and strength of the resulting binding interface. The computational results were next validated a posteriori against the corresponding experimental data, yielding an overall agreement of 92%. Interestingly, a non-negligible number of mis-sense variations were predicted to enhance ACE2/S-RBDCoV-2 binding, including the variants Q24T, T27D/K/W, D30E, H34S7T/K, E35D, Q42K, L79I/W, R357K, and R393K on ACE2 and L455D/W, F456K/W, Q493K, N501T, and Y505W on S-RBDCoV-2, respectively.
The coronavirus disease-2019 (COVID-19) pandemic, caused by the pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), started in China during late 2019 and swiftly spread worldwide. Since COVID-19 emergence, many therapeutic regimens have been relentlessly explored, and although two vaccines have just received emergency use authorization by different governmental agencies, antiviral therapeutics based neutralizing antibodies and small-drug inhibitors can still be vital viable options to prevent and treat SARS-CoV-2 infections. The viral spike glycoprotein (S-protein) is the key molecular player that promotes human host cellular invasion via recognition of and binding to the angiotensin-converting enzyme 2 gene (ACE2). In this work, we report the results obtained by mutating in silico the 18 ACE2 residues and the 14 S-protein receptor binding domain (S-RBDCoV-2) residues that contribute to the receptor/viral protein binding interface. Specifically, each wild-type protein-protein interface residue was replaced by a hydrophobic (isoleucine), polar (serine and threonine), charged (aspartic acid/glutamic acid and lysine/arginine), and bulky (tryptophan) residue, respectively, in order to study the different effects exerted by nature, shape, and dimensions of the mutant amino acids on the structure and strength of the resulting binding interface. The computational results were next validated a posteriori against the corresponding experimental data, yielding an overall agreement of 92%. Interestingly, a non-negligible number of mis-sense variations were predicted to enhance ACE2/S-RBDCoV-2 binding, including the variants Q24T, T27D/K/W, D30E, H34S7T/K, E35D, Q42K, L79I/W, R357K, and R393K on ACE2 and L455D/W, F456K/W, Q493K, N501T, and Y505W on S-RBDCoV-2, respectively.
Entities:
Keywords:
ACE2; SARS-CoV-2 spike protein; computational mutagenesis; free energy of binding; molecular dynamics; molecular mechanics/Poisson−Boltzmann surface area (MM/PBSA); receptor binding domain
The Coronavirus Disease 2019
(COVID-19) is a contagious infection caused by the severe acute respiratory
syndrome (SARS) coronavirus (CoV) 2 (SARS-CoV-2).[1] The first case was identified in Wuhan, China, in December
2019,[2] and, since then, it has been spreading
worldwide leading to the currently ongoing pandemic. COVID-19 symptoms
are highly variable, although the most commonly reported include fever,
cough, fatigue, breathing difficulties, and loss of smell and taste.[3] While many individuals report mild symptoms 1
to 14 days after viral exposure, unfortunately a large portion of
the affected population develops acute respiratory distress syndrome
(ARDS).[4] If not treated promptly and efficiently,
ARDS can dramatically turn into cytokine storms,[5] multiorgan failure,[6] septic
shock,[7] and blood clots.[8] Longer-term damage to organs (lungs and heart, in particular)
has also been reported.[9] Last but certainly
not least, there is a growing concern about the number of patients
who, after recovering from COVID-19 acute phase, continue to experience
a range of disease effects—known as long COVID—for months
afterward.[10]After the adoption of
strong measures to counteract the pandemic
outbreak and the subsequent successful containment of viral spreading,
unfortunately many countries around the world are now witnessing a
resurgence in COVID-19. As accessed by December 21, 2020, the World
Health Organization (WHO)[11] reports 75,479,471
confirmed cases of COVID-19, including 1,686,267 deaths. The most
afflicted continents are the Americas (U.S.A. and Brazil, in particular)
and Europe, with 32,740,713 and 23,673,404 documented cases, respectively.
On December 11, 2020, the U.S. Food and Drug Administration (FDA)
issued the first emergency use authorization (EUA) for the vaccine
produced by Pfizer-BioNTech for COVID-19 prevention in individuals
16 years of age and older; a week later, FDA further issued the EUA
for the second vaccine against SARS-CoV-2 (Moderna) for use in individuals
18 years of age and older. At the same time, after the European Medicine
Agency (EMA) recommended granting a conditional marketing authorization
for the Pfizer/BioNTech vaccine, the final EUA was released during
the extraordinary meeting of the European Committee for Medicinal
Products for Human Use (CHMP) on December 21, 2020. Notwithstanding,
under the pressure of the ever-growing number of infectedpeople and
the upcoming holiday seasons, many countries are again imposing full
or partial lockdown conditions in the attempt to contain viral spreading,
exacerbating negative economic consequences[12,13] and psychological distress.[14]Similarly
to SARS-CoV—the pathogen responsible for the 2002–2003
SARS pandemic that also initially emerged in China (Guangdong province)
and swiftly globally spread via air-travel routes infecting more than
8000 people with a 10% death toll[15]—SARS-CoV-2
exploits the homotrimeric transmembrane spike glycoprotein (S-protein)
during host cell invasion.[16,17] During this complex
process,[18] a well-characterized S-protein
region—the receptor binding domain (S-RBD)—specifically
engages the angiotensin-converting enzyme 2 (ACE2) as its cellular
receptor.[19−23] In addition, viral cell entry involves S-protein priming promoted
by the cellular transmembrane serine protease 2 (TMPRSS2) or other
proteases.[24] So far, it is well-established
that host susceptibility to SARS-COV-2 is primarily determined by
the binding affinity of the viral S-RBD for ACE2 during the initial
viral attachment step;[19−23] moreover, computer-based simulations of the interaction between
the S-RBD of SARS-CoV-2 (S-RBDCoV-2) and ACE2 performed
by our group[25] have identified some residues
that play a major role across the human receptor/viral protein binding
interface. In particular, the adopted computational alanine scanning
(CAS) approach highlighted residues D38, K31, E37, K353, and Y41 on
ACE2 and Q498, T500, and R403 on the SARS-CoV-2S-protein receptor
binding domain (Figure ) as hot spots contributing to shaping and determining the stability
of the relevant protein–protein interface.
Figure 1
Structural details of
the binding interface between ACE2 and the
viral spike protein receptor binding domain of SARS-CoV-2 (S-RBDCoV-2) showing the hot-spot residues at the protein/protein
binding interface as identified in our previous computational alanine
scanning study.[25] The secondary structures
of ACE2 and S-RBDCoV-2 are portrayed as light blue
and light tan ribbons, respectively. Each interacting protein residue
is shown in light matching-colored sticks and labeled, with hot-spot
residues highlighted in the corresponding dark colors.
Structural details of
the binding interface between ACE2 and the
viral spike protein receptor binding domain of SARS-CoV-2 (S-RBDCoV-2) showing the hot-spot residues at the protein/protein
binding interface as identified in our previous computational alanine
scanning study.[25] The secondary structures
of ACE2 and S-RBDCoV-2 are portrayed as light blue
and light tan ribbons, respectively. Each interacting protein residue
is shown in light matching-colored sticks and labeled, with hot-spot
residues highlighted in the corresponding dark colors.During the peer review process of our previous work on the
subject,[25] one of the experts offered the
suggestion to
expand the computational approach beyond alanine scanning, and prompted
us to challenge our in silico framework against non-alanine
mutations that may arise at the ACE2/S-protein interface residues.
Indeed, as SARS-CoV-2 utilizes ACE2 as host receptor and host proteases
for cell surface binding and internalization, it is possible that
genetic variability of this human receptor could constitute one of
the elements modulating virion intake and, therefore, disease severity.
In this respect, for instance, Cao and colleagues already reported
and characterized 32 variants in different populations.[26] Contextually, another large study—in
which the whole-exome sequencing data of 6930 Italian control individuals
from 5 different centers looking for ACE2 variants—also identified
a number of ACE2 mutations with a potential impact on protein stability
and/or S-protein binding.[27] Accordingly,
it is conceivable that ACE2 gene polymorphism, humanACE2 mRNA expression,
and humanACE2 protein polymorphism all might exert an influence on
SARS-CoV-2 susceptibility and COVID-19 disease outcome.[28]From the viral standpoint, it is well-known
that mutations in all
RNA viruses (including SARS-CoV-2) can easily originate at least from
three main processes. First of all, copying errors during viral replication
are perhaps the first, intrinsically most common source of mutations.[29] Interestingly, this process may be less relevant
for SARS-CoV-2 with respect to other RNA viruses, since coronavirus
polymerases are endowed with a proofreading mechanism.[30] Next, genomic variability might arise as the
result of recombination between two viral lineages coinfecting the
same host.[31] Finally, mutations can be
induced by host RNA-editing systems, which form part of natural host
immunity.[32,33] In addition, the recent results published
by Di Giorgio and co-workers[33] suggest
that both the apolipoprotein B mRNA editing catalytic polypeptide-like
(APOBEC) and adenosine deaminases acting on RNA (ADAR) families of
proteins are involved in coronavirus genome editing, a process that
may shape the fate of both virus and patient. Population genetics
and epidemiology of RNA viruses teach us that mutation is an inevitable
consequence of being a virus.[34] However,
those mutations that adversely impact vital steps of virus function
are quickly removed by natural selection; conversely, slight deletions
might be retained (if only transiently) while neutral and in particular
advantageous mutations can reach higher frequencies.Under this
perspective, the possibility to estimate the difference
in binding affinity between different allelic variants of ACE2 or
S-RBDCoV-2 could be additionally exploited in, e.g., (i) understanding further the specificity of interaction
between the viral protein and its receptor, (ii) effective structure-based
design and development of neutralizing antibodies, vaccines, and protein/protein
inhibitors, and, above all, (iii) assessing the role of a genetic
diversity among population/individuals. As a consequence, we embarked
on the effort of mutating each of the 18 ACE2 residues and the 14
residues of S-RBDCoV-2 at the relevant protein/protein
binding interface. In detail, we selected to mutagenize every native
protein–protein interface residue into a hydrophobic (isoleucine),
polar (serine and threonine), charged (aspartic acid/glutamic acid
and lysine/arginine), and bulky (tryptophan) residue, respectively,
in order to study the different effects exerted by nature, shape,
and dimensions of the mutant amino acids on the structure and strength
of the resulting binding interface. Quite importantly, while undertaking
the extensive campaign of fully atomistic molecular dynamics (MD)
simulations (196 simulations), two experimental papers based on deep
mutagenesis and fluorescence-activated cell sorting (FACS) techniques
established the effects of mutations in ACE2[35] and S-protein[36] residues, respectively,
across the binding interface. Although the majority of changes in
both proteins were found to be deleterious for protein expression
and mutual binding, a significant number of residue variations were
reported to be well tolerated or even to enhance protein/protein binding
in both cases.[35,36] Accordingly, we used these experimental
data to benchmark and validate the results of the current study. To
this purpose, initially a color-coded criterion based on the predicted
free energy difference range of values was independently adopted,
as shown in Table .
Table 1
Color-Coded Criterion Based on the
Predicted Free Energy Difference (ΔΔG) Range of Values Adopted to Compare in Silico Results
and Experimental Evidencea
mutation
effect
ΔΔG range (kcal/mol)
color
code
Neutral mutations
–0.25 ≤ ΔΔG ≤ +0.25
Gray
Mildly destabilizing
mutations
–2.00 ≤ ΔΔG < −0.25
Light Yellow
Destabilizing
mutations
–4.00 ≤ ΔΔG < −2.00
Light Red
Highly destabilizing
mutations
–4.00 < ΔΔG
Red
Stabilizing mutations
+0.25 < ΔΔG ≤ +1.00
Light Green
Highly stabilizing mutations
ΔΔG > +1.00
Green
Negative/positive
ΔΔG values indicate unfavorable/favorable
substitutions for
the mutant residue in the relevant position, respectively.
Negative/positive
ΔΔG values indicate unfavorable/favorable
substitutions for
the mutant residue in the relevant position, respectively.The mutation ranking thus obtained
was then compared to the results—expressed
using an utterly analogous color-code (or heat map)—reported
by Chan et al.[35] for the ACE2 variants
and by Starr and co-workers[36] for the S-protein
isoforms, respectively.For the sake of brevity, in what follows
only those ACE2 and S-RBDCoV-2 mutations expected
to increase the stability of
the corresponding protein/protein binding interface will be discussed
in the main text, while the results for all interface disrupting/neutral
mutations are given in full in the Supporting Information files. Of note, when not directly commented here, eventual disagreements
between in silico and experimental data are also
discussed in the corresponding sections of the Supporting Information.
Results and Discussion
Analysis
of the ACE2 Residues at the Binding Interface with
the S-RBD SARS-CoV-2
Q24 and T27
Our previous molecular
dynamics (MD) simulations
have revealed that the main role of the ACE2 wild-type residue Q24,
located at the periphery of the receptor/S-RBDCoV-2 binding interface, is to anchor N487 on the S-RBDCoV-2via a stable H-bond (3.03 ± 0.18 Å),
along with establishing a few weaker contact interactions (CIs) with
G476 and Y489 on the viral protein.[25] In
addition, Q24 establishes an intramolecular van der Waals contact
with Y83 (further discussed below), which in turn engages N487 in
a complex-stabilizing H-bond (2.88 ± 0.17 Å) (Figure A). In line with this, our
CAS of Q24 predicted an affinity decrease of the A24 mutant ACE2 for
the viral protein (ΔΔGACE2(Q24A) = −2.61 ± 0.17 kcal/mol).[25] In full agreement with the available experimental report,[35] our current computational mutagenesis of Q24
into I, S, T, D, K, or W always results in a loss of the corresponding
binding free energy with the exception of the T24 mutant, for which
an increase in affinity for the viral protein is predicted/observed
(ΔΔGACE2(Q24T) = +0.93 ±
0.05 kcal/mol) (Figure A, Table S1, Figure
S1, and Table S3). Compared with
the wild-type residue, T24 is able to maintain the intermolecular
HB with N487 (3.13 ± 0.06 Å) and the CIs with Y489 and G476
(intermolecular) and with Y83 (intramolecular). Moreover, at variance
with Q24 and all other mutants considered, ACE2T24 directly engages
Y83 in a stable intramolecular HB (3.45 ± 0.18 Å), thereby
reinforcing the interaction of this ACEtyrosine with the viral N487
(2.73 ± 0.15 Å) (Figure B, Table S3).
Figure 2
Main interactions involving
the ACE2 wild-type residues Q24 (A)
and the corresponding T24 mutant (B) at the interface with S-RBDCoV-2 as obtained from the relevant equilibrated MD
simulations. Main interactions involving the ACE2 wild-type residue
T27 (C) and the corresponding D27 (D), K27 (E), and W27 (F) mutants
at the interface with S-RBDCoV-2 as obtained from
the corresponding equilibrated MD simulations. Images for all other
Q24 and T27 mutants are shown in Figures S1–S2, respectively. In these and all remaining figures, the secondary
structures of ACE2 and S-RBDCoV-2 are portrayed
as light blue and light tan ribbons, respectively. Each protein residue
under discussion and all other residues directly interacting with
them are highlighted in dark matching-colored sticks and labeled;
further residues/interactions related to the residue under investigation
are evidenced in light matching-colored sticks and labeled in light
gray. Hydrogen bonds (HBs) and salt bridges (SBs) directly involving
the mutated residues are represented as dark green and dark red broken
lines, respectively, and the relevant average distances are reported
(in black) accordingly; further important HBs and SBs detected in
each complex are also indicated using light green/red broken lines
and light gray labels (see Tables S3–S4 for details).
Figure 3
Change in binding free energy (ΔΔG = ΔGWILD-TYPE –
ΔGMUTANT) predicted by computational
mutagenesis of the ACE2 residues Q24 (A) and T27 (B) for the corresponding
ACE2/S-RBDCoV-2 complexes. In each protein–protein
assembly, the wild-type residue is replaced by I, S, T, D/E, K/R,
and W. Negative/positive ΔΔG values indicate
unfavorable/favorable substitutions for the mutant residue in the
relevant position, respectively. The numerical values of ΔΔG, all related energy terms, and all underlying intermolecular/intramolecular
interactions are reported in Table S1, Figures S1–S2, and Tables
S3–S4. The colored boxes below each bar in the graphs
show the qualitative comparison between in silico predicted (upper row) and experimental[35] (lower row) destabilizing/stabilizing effects of the corresponding
mutation on the ACE2/SARS-CoV-2 S-protein complex. Color legend: light
yellow, mildly destabilizing mutations; light red, destabilizing mutations;
red, highly destabilizing mutations; gray, neutral mutation; light
green, stabilizing mutations; green, highly stabilizing mutations
(see Table ).
Main interactions involving
the ACE2 wild-type residues Q24 (A)
and the corresponding T24 mutant (B) at the interface with S-RBDCoV-2 as obtained from the relevant equilibrated MD
simulations. Main interactions involving the ACE2 wild-type residue
T27 (C) and the corresponding D27 (D), K27 (E), and W27 (F) mutants
at the interface with S-RBDCoV-2 as obtained from
the corresponding equilibrated MD simulations. Images for all other
Q24 and T27 mutants are shown in Figures S1–S2, respectively. In these and all remaining figures, the secondary
structures of ACE2 and S-RBDCoV-2 are portrayed
as light blue and light tan ribbons, respectively. Each protein residue
under discussion and all other residues directly interacting with
them are highlighted in dark matching-colored sticks and labeled;
further residues/interactions related to the residue under investigation
are evidenced in light matching-colored sticks and labeled in light
gray. Hydrogen bonds (HBs) and salt bridges (SBs) directly involving
the mutated residues are represented as dark green and dark red broken
lines, respectively, and the relevant average distances are reported
(in black) accordingly; further important HBs and SBs detected in
each complex are also indicated using light green/red broken lines
and light gray labels (see Tables S3–S4 for details).Change in binding free energy (ΔΔG = ΔGWILD-TYPE –
ΔGMUTANT) predicted by computational
mutagenesis of the ACE2 residues Q24 (A) and T27 (B) for the corresponding
ACE2/S-RBDCoV-2 complexes. In each protein–protein
assembly, the wild-type residue is replaced by I, S, T, D/E, K/R,
and W. Negative/positive ΔΔG values indicate
unfavorable/favorable substitutions for the mutant residue in the
relevant position, respectively. The numerical values of ΔΔG, all related energy terms, and all underlying intermolecular/intramolecular
interactions are reported in Table S1, Figures S1–S2, and Tables
S3–S4. The colored boxes below each bar in the graphs
show the qualitative comparison between in silico predicted (upper row) and experimental[35] (lower row) destabilizing/stabilizing effects of the corresponding
mutation on the ACE2/SARS-CoV-2S-protein complex. Color legend: light
yellow, mildly destabilizing mutations; light red, destabilizing mutations;
red, highly destabilizing mutations; gray, neutral mutation; light
green, stabilizing mutations; green, highly stabilizing mutations
(see Table ).In the receptor/viral protein complex, the ACE2
wild-type residue
T27 affords an interface stabilizing internal HB with E23 (3.05 ±
0.16 Å), and three favorable CIs with S-RBDCoV-2 residues F456, Y473, and Y489 (Figure C). Depletion of all these interactions in
the T27A mutant complex by CAS predicted a decrease of the corresponding
binding free energy of −2.23 ± 0.19 kcal/mol.[25] The actual computational mutagenesis of T27
into all residues considered reveals a variegated trend, again in
complete agreement with the relevant experimental data[35] (Figure B). Specifically, while only I27 induces a decrease in affinity
of the human receptor for the viral protein, S27 exerts a neutral
effect, whereas D, K, and W all establish extra-favorable interactions
at the relevant protein/protein interfaces, ultimately increasing
the affinity of the corresponding mutant isoforms for the viral S-RBDCoV-2 (Figure B, Table S1, Figure S2, and Table S4). If the
analysis starts with D27, with respect to T27 this mutant residue
is able to form two new, strong, and permanent intermolecular interactions
with the S-protein binding domain—i.e., an
HB with Y473 (2.68 ± 0.17 Å) and a salt bridge with K417
(3.87 ± 0.33 Å)—while preserving the CIs with F456,
Y489, and Y473 (Figure D). Moreover, the related network of interactions seen in the wild-type
complex (an intermolecular SB between D30 and K417 (3.67 ± 0.19
Å) and an internal HB between D30 and H34 (2.90 ± 0.24 Å))
not only remains unperturbed but is further reinforced via a new HB across the binding interface between H34 and Y453 (3.37
± 0.21 Å) (Figure C,D). Accordingly, the detected loss of the wild-type internal
HB between the side chain of D27 and the backbone −NH group
of E23 is overcompensated by the new/preserved interactions (Table S4), in line with the experimental evidence[35] and our predicted value of ΔΔGACE2(T27D) = +3.11 ± 0.09 kcal/mol (Figure B and Table S1). The analysis of the MD trajectory for
the K27 mutant also yields a sensible explanation for the predicted/observed
increase in affinity of this ACE2 variant for S-RBDCoV-2 (ΔΔGACE2(T27K) = +1.52 ±
0.16 kcal/mol (Figure B, Table S1, and Table S4). Indeed, as
portrayed in the representative snapshot shown in Figure E: (i) K27 replaces the internal
side chain-backbone HB between T27 and E23 with a charge-neutralizing
SB at the interface (3.74 ± 0.29 Å), (ii) at variance with
T27 and similarly to D27 the mutated K27 engages the viral residue
Y453 in a direct intermolecular HB (3.24 ± 0.21 Å), and
(iii) the presence of K27 does not alter all remaining inter/intramolecular
interactions across the protein/protein interface (Figure C,E and Table S4). Finally, according to our prediction for the T27W
mutagenesis, the loss of the internal side chain-backbone HB between
W27 and E23 is more than compensated by the formation of the intermolecular
HB between H34 and Y453 (3.48 ± 0.32 Å), while the network
of all other interactions is fully preserved and further potentiated
by increased van der Waals contacts of W27 with the side chains of
Y473 and Y489 and, particularly, the π/π interaction with
F456 (Figure F and Table S4). Therefore, in accord with the associated
experimental data the estimated variation of the binding free energy
for the W27 mutant ACE2/S-RBDCoV-2 complex is positive
(Figure B) and equal
to ΔΔGACE2(T27W) = +1.02 ±
0.14 kcal/mol (Table S1).
D30 and H34
Aspartic acid at the position 30 along
the ACE wild-type sequence (D30) is another key player in the human
receptor/viral protein interaction. Indeed, our CAS study and the
related MD simulations[25] confirmed that
D30 establishes a critical intermolecular SB across the protein/protein
interface with K417 (3.85 ± 0.41 Å) on the S-RBDCoV-2 (Figure A). In addition,
D30 engages H34 of ACE2 in a stable intramolecular HB (3.31 ±
0.18 Å), contextually sharing CIs with the side chains of the
protein residues F456 and L455 (Figure A). Accordingly, when mutagenized into alanine in silico, a substantial loss in affinity of the A30 mutant
ACE2 isoform for S-RBDCoV-2 was predicted (ΔΔGACE2(D30A) = −3.89 ± 0.12 kcal/mol).[25] The actual results of the computational mutagenesis
of D30 into I, S, T, E, K, and W together with the experimental findings
from Chan et al.[35] are shown in Figure A (see also Table S1, Figure S3,
and Table S5). While both data sets agree
on the prevalently mild-to-strong interface destabilizing effects
exerted by residues other than the wild-type D at this position, the
most interesting evidence concerns the D30E mutated ACE2 receptor
for which the corresponding affinity for the viral counterpart is
predicted to increase, again in line with experiment (Figure A, Table
S1; for a discussion on D30I data, see Supporting
Information). The analysis of the MD trajectory for the E30
ACE2 mutant isoform in complex with S-RBDCoV-2 (Figure B) shows that, when
compared with the corresponding wild-type protein/protein assembly
(Figure A), the relevant
binding interface region becomes decidedly more compact in the case
of the mutant receptor, ultimately resulting in completely conserved
yet shorter (and hence stronger) intermolecular interactions (i.e., the interfacial SB of E30 with K417 (3.01 ± 0.12
Å), the intramolecular HB between E30 and H34 (2.96 ± 0.10
Å), and the intermolecular CIs with F456 and L455 (Figure A,B and Table S5)). This interface tightening induced by the E30 mutation
does not perturb the associated network of interactions seen in the
wild-type ACE2/S-RBDCoV-2 complex, which include
the topical ACE2 intramolecular SB between K31 and E35 (3.08 ±
0.30 Å), and the two intermolecular HBs involving the side chains
again of K31 and E35 and the −CONH2 terminal group
of the viral Q493 (2.85 ± 0.16 Å and 3.31 ± 0.24 Å,
respectively; Figure A,B and Table S5). In summary, although
the further intramolecular HB between the wild-type viral protein
residues Q493 and S494 (3.24 ± 0.21 Å) is no longer detected
in the corresponding E30 mutant ACE2/S-RBDCoV-2 complex
MD trajectory (Figure A,B), the optimization of all remaining inter/intramolecular interactions
at the related E34 mutant protein–protein interface produces
a net positive increase in its affinity for the receptor binding domain
of the SARS-CoV-2spike protein (ΔΔGACE2(D30E) = +1.16 ± 0.17 kcal/mol, Figure A and Table S1).
Figure 4
Main interactions
involving the ACE2 wild-type residues D30 and
H34 (A) and the corresponding E30 (B), S34 (C), T34 (D), and K34 (E)
mutants at the interface with S-RBDCoV-2 as obtained
from the relevant equilibrated MD simulations. Images for all other
D30 and H34 mutants are shown in Figures S3–S4, respectively (see also Tables S5–S6 for details). Colors and other explanations are the same as in Figure .
Figure 5
Change in binding free energy predicted by computational mutagenesis
of the ACE2 residues D30 (A) and H34 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations as in Figure . The numerical values
of ΔΔG, all related energy terms, and
all underlying intermolecular/intramolecular interactions are reported
in Table S1, Figures
S3–S4, and Tables S5–S6.
Main interactions
involving the ACE2 wild-type residues D30 and
H34 (A) and the corresponding E30 (B), S34 (C), T34 (D), and K34 (E)
mutants at the interface with S-RBDCoV-2 as obtained
from the relevant equilibrated MD simulations. Images for all other
D30 and H34 mutants are shown in Figures S3–S4, respectively (see also Tables S5–S6 for details). Colors and other explanations are the same as in Figure .Change in binding free energy predicted by computational mutagenesis
of the ACE2 residues D30 (A) and H34 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations as in Figure . The numerical values
of ΔΔG, all related energy terms, and
all underlying intermolecular/intramolecular interactions are reported
in Table S1, Figures
S3–S4, and Tables S5–S6.As discussed in our previous effort,[25] the ACE2 wild-type residue H34 plays a secondary
role at the receptor/viral
protein interface since besides the internal HB with D30 reviewed
above, it does not involve any S-RBDCoV-2 residue
in direct intermolecular SBs/HBs but just provides a few intermolecular
CIs (i.e., dispersive and polar contacts with L455 and Y453, respectively)
(Figure C). In line
with this, mutating H34 into alanine leads to in moderate loss of
ACE2 affinity for the viral spike protein (ΔΔGACE2(H34A) = −1.77 ± 0.09 kcal/mol).[25] However, substituting H for I, S, T, D, K, and
W at this position leads to different effects on the resultant protein–protein
binding strength, with three mutant residues (S, T, and K) predicted
to increase the relevant protein affinity for the S-RBDCoV-2, as shown in Figure B. In detail, when S34 is considered, the corresponding MD trajectory
shows that the internal HB with D30 is replaced by an intermolecular
HB across the binding interface with Q493 (2.85 ± 0.12 Å, Figure C). As the related
network of interactions remains unaffected by the H34S mutation (Figure A,C, Table S6), the net result is a small but meaningful increase
of the ACE2 S34 mutant affinity for the receptor binding domain of
SARS-CoV-2 with respect to the wild-type (ΔΔGACE2(H34S) = +0.72 ± 0.12 kcal/mol, Table S1), in line with the relevant experimental data[35] (Figure B). When ACE2H34 is mutated into threonine (H34T), the MD-predicted
interaction network at the corresponding protein/protein binding interface
is almost identical with that described above for the S34 mutant (Figure C,D, Table S6); in line with this, the related value of ΔΔGACE2(H34T) is also positive and equal to +0.65
± 0.07 kcal/mol (Figure B and Table S1). Finally, it is
interesting to observe that, notwithstanding the large agreement between in silico and in vitro mutagenesis evidence
for this ACE2 residue, simulation and experiment diverge when the
H34K mutation is considered, since a slight interface stabilizing
effect is predicted based on MD data, while the opposite behavior
is reported experimentally[35] (Figure B). In our case,
the moderate increase in affinity of the K34ACE2 mutant for the viral
S-RBDCoV-2 (ΔΔGACE2(H34K) = +0.53 ± 0.09 kcal/mol, Table S1) is justified on the basis of the underlying inter/intramolecular
interaction network illustrated in Figure E and Table S6.
With respect to the wild-type residue H34, the isolated interfacial
SB between D30 and K417 becomes bifurcated (3.82 ± 0.20 Å
and 3.88 ± 0.12 Å, respectively; Figure E and Table S6),
thereby acting as a type of molecular clip that locally tightens the
protein/protein interface. Although K34 is not involved in any inter/intramolecular
stabilizing SB, for the entire duration of the corresponding MD simulations
its side chain protrudes into the solvent, where it engages the side
chains of the viral residues Y453 and K417 in stable polar and van
der Waals CI, respectively (Figure E, Table S6).
Y83, M82,
L79, and F28
ACE2Y83 is an amino acid that,
as already mentioned above, plays an important role by engaging the
viral N487 in a robust protein–protein HB, thereby locking
this residue in place for further intermolecular H-bonding with Q24
(Figures A and 6A, Table S7). Y83 also
engages polar and dispersive intermolecular CIs with Y489 and F486
and, intramolecularly, with the side chain of ACE2 F28 (Figure A, Table
S6). Removing all these interactions by replacing the side
chain of Y83 with alanine yielded a predicted loss of binding free
energy equal to ΔΔGACE2(Y83A)
= −3.18 ± 0.20 kcal/mol.[25] Along
the same line, mutating Y83 into I, S, T, D, K, and W always results
in a destabilization of the relevant protein/protein interfaces, both
computationally and experimentally[35] (Figures A and S5, Table S1, and Table S7). In the same context,
our previous CAS results revealed that ACE2M82 affords only weakly
stabilizing intra/intermolecular CIs with L79 and F486, respectively
(Figure A), supported
by the corresponding ΔΔG value predicted
for the M82A mutant receptor/S-RBDCoV-2 complex
(ΔΔGACE2(M82A) = −0.76
± 0.12 kcal/mol).[25] Consistently with
this, both mutagenesis experiments[35] and
simulations entirely agree in showing neutral-to-moderately interface
destabilizing effects for all alternative amino acids considered,
as reported in Figures B and S6, Table S1, and Table S8.
Figure 6
Main interactions
involving the ACE2 wild-type residues Y83, M82,
L79, and F28 (A) and the corresponding I79 (B) and W79 (C) mutants
at the interface with S-RBDCoV-2 as obtained from
the relevant equilibrated MD simulations. Images for all other Y83,
M82, L79, and F28 mutants are shown in Figures
S5–S8 (see also Tables S7–S10 for details). Colors and other explanations are as in Figure .
Figure 7
Change
in binding free energy predicted by computational mutagenesis
of the ACE2 residues Y83 (A), M82 (B), L79 (C), and F28 (D) for the
corresponding ACE2/S-RBDCoV-2 complexes. Colors
and other explanations as in Figure . The numerical values of ΔΔG, all related energy terms, and all underlying intermolecular/intramolecular
interactions are reported in Table S1, Figures S5–S8, and Tables
S7–S10.
Main interactions
involving the ACE2 wild-type residues Y83, M82,
L79, and F28 (A) and the corresponding I79 (B) and W79 (C) mutants
at the interface with S-RBDCoV-2 as obtained from
the relevant equilibrated MD simulations. Images for all other Y83,
M82, L79, and F28 mutants are shown in Figures
S5–S8 (see also Tables S7–S10 for details). Colors and other explanations are as in Figure .Change
in binding free energy predicted by computational mutagenesis
of the ACE2 residues Y83 (A), M82 (B), L79 (C), and F28 (D) for the
corresponding ACE2/S-RBDCoV-2 complexes. Colors
and other explanations as in Figure . The numerical values of ΔΔG, all related energy terms, and all underlying intermolecular/intramolecular
interactions are reported in Table S1, Figures S5–S8, and Tables
S7–S10.The effects of mutating
the ACE2 wild-type residue L79 into I,
S, T, D, K, and W are more surprising, in that experimental[35]/computational mutagenesis results both predict
receptor/S-RBDCoV-2 interface stabilization for
the two substitution L79I and L79W, whereas replacement with polar
(S, T) or charged residues (D, K) reflects into neutral/mildly protein/protein
destabilizing effects (Figures B–C, S7 and 7C, Table S1, and Table S9) (for a discussion on L79T data, see Supporting
Information). According to our previous CAS study, L79 is involved
only in three CIs of van der Waals/hydrophobic nature, two with ACE2
residues F28 and M82 and one with the viral F486 (Figure B, Table
S9). In keeping with this, the abrogation of these CIs within
the ACE2L79A mutant/S-RBDCoV-2 complex was predicted
to marginally reduce the affinity of the A79 receptor for the viral
S-protein (ΔΔGACE2(L79A) =
−1.04 ± 0.16 kcal/mol).[25] Interestingly,
when L is replaced by I at the same position, the different geometry
of I79 allows this amino acid to establish the same CIs of its wild-type
isomer along with a slight compaction of the corresponding binding
interface region (Figure A,B, Table S9); consequently, the
predicted variation of binding free energy is slightly positive (ΔΔGACE2(L79I) = +0.35 ± 0.10 kcal/mol, Figure C, and Table S1). The effects produced by the L79W mutation
are utterly similar to those just discussed for the L79IACE2 variant,
with the further engagement by W79 of F486 in a π/π interaction
and enhanced dispersive interactions with the side chains of all residues
shaping this hydrophobic patch of the ACE2/S-RBDCoV-2 binding interface (Figure C, Table S9). Eventually, this translates
into a stabilization of the relevant protein/protein complex (ΔΔGACE2(L79W) = +1.05 ± 0.15 kcal/mol, Table S1), in agreement with experiment[35] (Figure C). Finally, mutating the wild-type ACE2 F28—located
in the center of this hydrophobic region (Figure A)—into all residues considered (including
alanine)[25] always results in interface
destabilizing effects which, in agreement with experiment,[35] are more significant in the case of hydrophobic-to-charged
substitutions such as D and K (Figures D and S8, Tables S1 and S10).
K31 and E35
Our
earlier CAS study highlighted the wild-type
K31 as a hot-spot residue in the interaction between ACE2 and the
receptor binding domain of the SARS-CoV-2S-protein.[25] Indeed, K31 establishes a topical internal SB with the
side chain of E35 (3.94 ± 0.42 Å), which is further stabilized
by (i) two permanent intermolecular HBs of both K31 and E35 with Q493
of S-RBDCoV-2 (3.04 ± 0.25 Å and 2.94
± 0.19 Å, respectively), and (ii) extensive CIs with the
side chains of the viral protein residues L455, F456, and Y489 (Figure A). As such, replacing
ACE2K31 with alanine in the corresponding protein/protein complex
resulted in a substantial loss of binding free energy (ΔΔGACE2(K31A) = −4.85 ± 0.14 kcal/mol).[25] In line with these previous findings, the current
computational mutagenesis predicts robust destabilizing effects—involving
not only the previously discussed interactions but also the related
network of intra- and intermolecular contacts comprising ACE2 residues
D30 and H34 and the S-RBDCoV-2 residues K417, Y453,
and S494, Figures A–S9 and Table S11)—when
K31 is replaced by I, S, T, D, R, and W, in almost complete agreement
with the relevant experimental results[35] (Figure A; for a
discussion on K31W data, see Supporting Information).
Figure 8
Main interactions involving the ACE2 wild-type residues K31 and
E35 (A), and the corresponding D35 mutant (B) at the interface with
S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other K31 and E35 mutants are shown
in Figures S9–S10 (see also Tables S11–S12 for details). Colors and
other explanations are as in Figure .
Figure 9
Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues K31 (A) and E35 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations are as
in Figure . The numerical
values of ΔΔG, all related energy terms,
and all underlying intermolecular/intramolecular interactions are
reported in Table S1, Figures S9–S10, and Tables S11–S12.
Main interactions involving the ACE2 wild-type residues K31 and
E35 (A), and the corresponding D35 mutant (B) at the interface with
S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other K31 and E35 mutants are shown
in Figures S9–S10 (see also Tables S11–S12 for details). Colors and
other explanations are as in Figure .Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues K31 (A) and E35 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations are as
in Figure . The numerical
values of ΔΔG, all related energy terms,
and all underlying intermolecular/intramolecular interactions are
reported in Table S1, Figures S9–S10, and Tables S11–S12.As ACE2 residue E35 is strongly
related to K31 (Figure A), it is not surprising that—as
already predicted in the case of the E35A mutation, for which ΔΔGACE2(E35A) = −2.89 ± 0.15 kcal/mol[25]—replacing ACE2 E35 with each of the alternative
residues considered also reflects in a moderate-to-strong interface
disrupting behavior (Figure B, Table S1, Figure S10 and Table S12), with
the exception of the substitution E35D, for which both in
silico and in vitro(35) data anticipate an interface stabilizing contribution (Figure B). As seen in Figure B, in the presence
of the shorter yet charge-preserving aspartic acid, the entire set
of intra- and intermolecular interactions is preserved across the
binding interface; moreover, similarly to what was already described
above for the H34K mutant, D35 is further able to clip K31 via a stronger, bifurcated SB (3.00 ± 0.16 Å and
3.19 ± 0.20 Å, respectively; Figure B and Table S12), thereby increasing the affinity of the D35 ACE2 mutant for the
viral protein (ΔΔGACE2(E35D)
= +0.98 ± 0.11 kcal/mol, Figure B, and Table S1).
K353,
D38, and Q42
According to our original CAS study,
another ACElysine at the interface between the human receptor and
the SARS-CoV-2spike protein—K353—plays the role of
hot spot residue in the formation of this protein/protein complex.[25] Indeed, mutating K353 into alanine resulted
in great affinity loss of the ACE2K353A mutant for the viral RBD
(ΔΔGACE2(K353A) = −7.19
± 0.74 kcal/mol),[25] which accounted
for the abrogation of the underlying extensive system of interactions:
the fundamental intermolecular charge-neutralizing SB with D38 (3.66
± 0.39 Å), two permanent intermolecular HBs with the side
chain/backbone of Q498 (2.87 ± 0.13 Å) and G496 (2.95 ±
0.21 Å), respectively, and CIs of polar and dispersive nature
with the side chains of N501 and Y505 (on S-RBDCoV-2) and Y41 (on ACE2) (Figure A). Data from the actual computational and experimental[35] mutagenesis confirm the relevance of this residue
in the formation of the receptor/S-protein complex (Figure A, Table
S1), with all considered mutant residues resulting in a strong
interface destabilization caused by the drastic decrease of the relevant
protein/protein contacts (Figure S11, Table S13). In the same way, the experimental[35]/computational mutation of ACE2 D38—the
intramolecular SB partner of K353 further involved in three HBs (with
Q498 (2.92 ± 0.19 Å) and Y449 (2.92 ± 0.20 Å)
of S-RBDCoV-2 and with ACE2 Q42 (3.04 ± 0.18
Å)), and two CIs (with Y449 and G496) (Figure A)—into I, S, T, D, K or W also produces
ACE2 isoforms with drastically lower affinity for its viral counterpart
(Figure B, Table S1, Figure S12, and Table S14), confirming the hot-spot
role for this residue predicted in our previous CAS study (ΔΔGACE2(D38A) = −5.11 ± 0.21 kcal/mol).[25]
Figure 10
Main interactions involving the ACE2 wild-type residues
K353, D38,
and Q42 (A), and the corresponding K42 mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other K353, D38, and Q42 mutants are
shown in Figures S11–S13 (see also Tables S13–S15 for details). Colors and
other explanations as in Figure .
Figure 11
Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues K353 (A), D38 (B), and Q42 (C) for the corresponding
ACE2/S-RBDCoV-2 complexes. Colors and other explanations
are as in Figure .
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S1, Figures S11–13, and Tables S13–S15.
Main interactions involving the ACE2 wild-type residues
K353, D38,
and Q42 (A), and the corresponding K42 mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other K353, D38, and Q42 mutants are
shown in Figures S11–S13 (see also Tables S13–S15 for details). Colors and
other explanations as in Figure .Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues K353 (A), D38 (B), and Q42 (C) for the corresponding
ACE2/S-RBDCoV-2 complexes. Colors and other explanations
are as in Figure .
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S1, Figures S11–13, and Tables S13–S15.Mutating Q42 on ACE2 into alanine in silico resulted
in the moderated loss of binding affinity of the mutant receptor for
the S-protein RBD (ΔΔGACE2(Q42A) = −2.19 ± 0.11 kcal/mol),[25] mainly ascribable to the abrogation of the direct intermolecular
HB of Q42 and the viral Y449 (3.03 ± 0.11) Å across the
binding interface (Figure A). In line with this, both experiment[35] and the present computational analysis support moderate
interface destabilizing effects upon substitution of the wild-type
asparagine with all other residues considered apart from K42, for
which a stabilization of the relative protein/protein interface is
reported (Figure C, Table S1) (for a discussion on Q42I
and Q42S data, see Supporting Information). As shown in Figure B, according to our MD simulations the K42 ACE mutant isoform
is able to fully preserve the strong interaction network characterizing
the wild-type receptor/S-protein binding interface (Figure A, Table
S15); in addition, the long and positively charged lysine chain
of K42 established a further intramolecular SB with D38 (3.91 ±
0.27 Å, Figure B), ultimately resulting in a small gain of affinity of the K42 mutant
receptor for the S-RBDCoV-2 (ΔΔGACE2(Q42K) = +0.45 ± 0.07 kcal/mol, Figure C, Table S1).
Y41, D355, and R357
Y41 on ACE2
α-helix 1 is
another predicted hot spot at the binding interface between the human
receptor and the viral S-protein RBD, since mutating this tyrosine
into alanine yielded a substantial loss in the relevant binding free
energy (ΔΔGACE2(Y41A) = −4.43
± 0.33 kcal/mol).[25] As shown in Figure A, ACE2 Y41 is
instrumental in the establishment of a complex network of inter- and
intramolecular interactions across the protein–protein binding
interface which includes, besides the two direct HBs with the viral
protein residues T500 (3.08 ± 0.23 Å) and N501 (3.23 ±
0.22 Å) and the CIs with the side chains of Q498 (intermolecular)
and K353 (intramolecular) described above, an important HB with ACED355 (2.78 ± 0.15 Å) and further favorable CIs with the
side chains of L45 and L351 (Figure A). All these interactions concur in shaping the binding
interface for other, fundamental sets of binding contacts involving
ACE2K31, D38, and Q42 with the side chains of N501, Q498, and Y449
on S-RBDCoV-2 (Figures and 11). As could
be anticipated, computational and experimental[35] mutagenesis of Y41 into the selected residues both provoke
interface destabilizing effects in all cases (Figures A and S14, Tables S1 and S16). With regard to the wild-type
D355 residue on ACE2, the main role of this aspartic acid is to naturalize
the positive charge of the adjacent R357 via an internal
SB (3.68 ± 0.19 Å), while concomitantly H-bonding the viral
threonine 500 (2.77 ± 0.16 Å) and ACE2 Y41, as discussed
a few lines previously (Figure A). Abrogation of these interactions when D355 was
replaced by alanine via CAS resulted in the important
loss of affinity of the A355 mutant receptor for the viral protein,
as quantified by ΔΔGACE2(D355A)
= −3.18 ± 0.20 kcal/mol.[25] In
analogy with Y41, also for this residue both in silico and in vitro(35) data
agree on interface destabilization in the presence of I, S, T, K,
and W, again with a small deviation between experiment and prediction
concerning the homologous substitution D355E (mildly destabilizing
vs neutral effect, respectively) (Figures B and S15, Table S1 and S17; for a discussion on D355E data
see Supporting Information).
Figure 12
Main interactions
involving the ACE2 wild-type residues Y41, D355,
and R357 (A), and the corresponding R357 K mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other Y41, D355, and R357 mutants are
shown in Figures S14–S16 (see also Tables S16–S18 for details). Colors and
other explanations as in Figure .
Figure 13
Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues Y41 (A), D355 (B), and R357 (C) for the corresponding
ACE2/S-RBDCoV-2 complexes. Colors and other explanations
as in Figure . The
numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S1, Figures S14–16, and Tables S16–S18.
Main interactions
involving the ACE2 wild-type residues Y41, D355,
and R357 (A), and the corresponding R357 K mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other Y41, D355, and R357 mutants are
shown in Figures S14–S16 (see also Tables S16–S18 for details). Colors and
other explanations as in Figure .Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues Y41 (A), D355 (B), and R357 (C) for the corresponding
ACE2/S-RBDCoV-2 complexes. Colors and other explanations
as in Figure . The
numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S1, Figures S14–16, and Tables S16–S18.Previous CAS data anticipated
a negative effect in replacing the
ACE2 R357 with alanine (ΔΔGACE2(R357A) = −3.32 ± 0.25 kcal/mol).[25] In line with this prediction, the current computational
and experimental[35] mutagenesis data confirm
human receptor/S-RBDCoV-2 interface destabilizing
effects when replacing the wild-type arginine with all alternative
residues considered except for the R357 K mutation, for which in silico data support a weak protein/protein stabilizing
action (ΔΔGACE2(R357 K) =
+0.93 ± 0.14 kcal/mol, Figure C, Table S1, Figures S16, and Table S18). As
seen by comparing panels A and B in Figure , in the presence of the mutant K357 all
major inter- and intramolecular interactions detected in the wild-type
complex are preserved; moreover, at variance with the native R357,
the shorter K393 side chain engages D355 in a bifurcated intramolecular
salt bridge (3.63 ± 0.23 Å and 3.77 ± 0.18 Å,
respectively), while ACE2 D38 is stabilized by a more effective side
chain-side chain intramolecular HB with Q42 (3.63 ± 0.26 Å)
(Figure B, Table S18).
E37 and R393
According
to the results of our previous
study,[25] the ACE2 wild-type residue E37
is another hot-spot at the S-RBDCoV-2/ACE2 complex,
where it is involved in two interface stabilizing contacts: a SB with
R403 (3.62 ± 0.39 Å) and an HB with the side chain of Y505
(3.15 ± 0.24 Å); moreover, it plays an important structural
role by anchoring ACE2 R393 via an internal bifurcated
SB (3.93 ± 0.38 Å and 3.69 ± 0.27 Å, respectively)
(Figure A). As such,
the corresponding variation in binding free energy between the wild-type
and mutant receptor carrying an alanine residue at the same position
(E37A) in complex with the viral S-protein was estimated to be quite
significant (ΔΔGACE2(E37A)
= −5.12 ± 0.22 kcal/mol).[25] The predicted importance of ACE2 E37 at this protein/protein binding
region is consistently confirmed by the present computational mutagenesis
results and the relevant experimental data:[35] both techniques indeed reveal strong-to-very strong interface destabilizing
effects when this glutamic acid is change into each of the alternative
residues considered (Figure A, Table S1, Figures S17–S18, and Tables S19–S20).
Figure 14
Main interactions involving the ACE2 wild-type residues E37 and
R393 (A) and the corresponding R393 K mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other E37 and R393 mutants are shown
in Figures S17–S18 (see also Tables S19–S20 for details). Colors and
other explanations are as in Figure .
Figure 15
Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues E37 (A) and R393 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations as in Figure . The numerical values
of ΔΔG, all related energy terms, and
all underlying intermolecular/intramolecular interactions are reported
in Table S1, Figures
S17–S18, and Tables S19–S20.
Main interactions involving the ACE2 wild-type residues E37 and
R393 (A) and the corresponding R393 K mutant (B) at the interface
with S-RBDCoV-2 as obtained from the relevant equilibrated
MD simulations. Images for all other E37 and R393 mutants are shown
in Figures S17–S18 (see also Tables S19–S20 for details). Colors and
other explanations are as in Figure .Change in binding free
energy predicted by computational mutagenesis
of the ACE2 residues E37 (A) and R393 (B) for the corresponding ACE2/S-RBDCoV-2 complexes. Colors and other explanations as in Figure . The numerical values
of ΔΔG, all related energy terms, and
all underlying intermolecular/intramolecular interactions are reported
in Table S1, Figures
S17–S18, and Tables S19–S20.Finally, as anticipated by the
relevant CAS data (ΔΔGACE2(R393A) = −2.33 ± 0.19 kcal/mol),[25] replacing either in silico or in vitro(35) the ACE2 wild-type
arginine 393 with any of the selected residues reflects into mild-to-strong
destabilizing effects of the relevant receptor/S-protein binding interface,
with the somewhat expected opposite outcome for the homologous substitution
R393 K (Figure B, Tables S1 and S20; for a discussion on R393T data,
see Supporting Information). From the equilibrated
MD snapshots portrayed in Figure , it is apparent that the R393 K mutant ACE2 isoform
(Figure B) is able
to engage the SARS-CoV-2 RBD in the same interaction network established
by the wild-type receptor (Figure A, Table S20) yet with an
overall compaction of the protein/protein interface; this, in turn,
ultimately reflects in a moderate increase of the K393 ACE2 mutant
affinity for the viral protein (ΔΔGACE2(R393 K) = +0.79 ± 0.14 kcal/mol, Figure B, and Table S1).
Analysis of the SARS-CoV-2 S-RBD Residues
at the Binding Interface
with ACE2
Y449, Y453, and T500
According to our previous CAS
investigation,[25] the wild-type S-RBDCoV-2 residue Y449 engages the side chains of ACE2 residues
Q42 and D38 in two HBs and CIs across the binding interface (3.03
± 0.11 Å and 2.92 ± 0.20 Å, respectively) (Figure A). Via an internal HB Y449 anchoring the side chain of Q498 (3.04 ±
0.18 Å), a viral protein residue fundamental in shaping all other
intra- and intermolecular interactions of this protein/protein binding
region (Figure A).
In line with the value predicted for the Y449A mutant (ΔΔGCoV-2(Y449A) = −3.21 ± 0.31
kcal/mol),[25] the actual computational and
experimental[36] results both report interface
destabilizing effects in all ACE2/mutant S-RBDCoV-2 complexes considered (Figure A, Table S2, Figure S19, and Table S21).
Figure 16
Change in
binding free energy (ΔΔG = ΔGWILD-TYPE –
ΔGMUTANT) predicted by computational
mutagenesis of the S-RBDCoV-2 residues Y449 (A),
Y453 (B), and T500 (C) for the corresponding ACE2/S-RBDCoV-2 complexes. In each protein–protein assembly, the wild-type
residue is replaced by I, S, T, D/E, K/R, and W. Negative/positive
ΔΔG values indicate unfavorable/favorable
substitutions for the mutant residue in the relevant position, respectively.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S19–S21, and Tables S21–S23. The colored boxes below each bar in the graphs show the qualitative
comparison between in silico predicted (upper row)
and experimental[36] (lower row) destabilizing/stabilizing
effects of the corresponding mutation on the ACE2/SARS-CoV-2 S-protein
complex. Color legend: light yellow, mildly destabilizing mutations;
light red, destabilizing mutations; red, highly destabilizing mutations;
gray, neutral mutation; light green, stabilizing mutations; green,
highly stabilizing mutations. (D) Main interactions involving the
S-RBDCoV-2 Y453K mutant at the interface with ACE2
as obtained from the relevant equilibrated MD simulations. Colors
and other explanations as in Figure . Images for all other Y449, Y453, and T500 mutants
are shown in Figures S19–S21 (see
also Tables S21–23 for details).
Change in
binding free energy (ΔΔG = ΔGWILD-TYPE –
ΔGMUTANT) predicted by computational
mutagenesis of the S-RBDCoV-2 residues Y449 (A),
Y453 (B), and T500 (C) for the corresponding ACE2/S-RBDCoV-2 complexes. In each protein–protein assembly, the wild-type
residue is replaced by I, S, T, D/E, K/R, and W. Negative/positive
ΔΔG values indicate unfavorable/favorable
substitutions for the mutant residue in the relevant position, respectively.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S19–S21, and Tables S21–S23. The colored boxes below each bar in the graphs show the qualitative
comparison between in silico predicted (upper row)
and experimental[36] (lower row) destabilizing/stabilizing
effects of the corresponding mutation on the ACE2/SARS-CoV-2S-protein
complex. Color legend: light yellow, mildly destabilizing mutations;
light red, destabilizing mutations; red, highly destabilizing mutations;
gray, neutral mutation; light green, stabilizing mutations; green,
highly stabilizing mutations. (D) Main interactions involving the
S-RBDCoV-2Y453K mutant at the interface with ACE2
as obtained from the relevant equilibrated MD simulations. Colors
and other explanations as in Figure . Images for all other Y449, Y453, and T500 mutants
are shown in Figures S19–S21 (see
also Tables S21–23 for details).For the proximal Y453S-protein residue, the original
CAS study
predicted only a small change in affinity of the Y453AS-RBDCoV-2 mutant for ACE2 (ΔΔGCoV-2(Y453A) = −0.79 ± 0.30 kcal/mol),[25] in line with the limited role played by this residue in
the wild-type complex (a polar intermolecular interaction with ACE2H34 and one intramolecular CI with Q493, Figure A). The actual in silico/experimental[36] data also commonly describe
neutral-to-mildly destabilizing effects for the W453, I453, S453,
and T453 mutants, respectively, a stronger negative influence on the
protein/protein complex stability in the presence of Y453D substitution
and, quite interestingly, a small increase in affinity of the Y453K
mutant S-RBDCoV-2 for the human receptor (Figure panels B and D, Table S2, Figure S20, and Table S22). The Y453K variant of
the S-protein RBD indeed engages the same CIs of its wild-type isomer
yet in a somewhat more efficient manner, resulting in a slight compaction
of the corresponding binding interface region (Figure D, Table S22).
In addition, the related network of interactions seen in the wild-type
complex is practically unchanged (see Figure A, Figure D, and Table S22), ultimately
resulting in slightly positive predicted variation of the corresponding
protein/protein binding free energy (ΔΔGCoV-2(Y453K) = +0.19 ± 0.07 kcal/mol, Figure B and Table S2).T500 of S-RBDCoV-2 is located at a tip of a flexible
loop in the RBD of the SARS-CoV-2S-protein, which includes two other
residues—Q498 and N501—involved in receptor binding
(Figure A). In the
wild-type ACE2/S-RBDCoV-2 complex, this threonine
establishes two strong intermolecular HBs with the side chains of
ACE2 Y41 and D355 (3.08 ± 0.23 Å and 2.77 ± 0.16 Å,
respectively), and CIs of polar and dispersive nature with the side
chains of R357 and N330 across the protein/protein interface[25] (Figures A). Thus, when this polar amino acid is replaced by
an hydrophobic residue such as alanine or isoleucine, a significant
loss in binding free energy is predicted (ΔΔGCoV-2(T500A) = −4.17 ± 0.36 kcal/mol[25] and ΔΔGCoV-2(T500I) = −3.58 ± 0.13 kcal/mol, respectively) and experimentally
observed[36] (Figure C and Table S2). In both virtual and real experiments,[36] all other substitutions considered (S/D/K/W) also reflect in a loss
of affinity of the corresponding mutated viral protein for the receptor,
although to a minor extent (Figure C, Table S2). The analysis
of the corresponding MD trajectories (Figure S21 and Table S23) reveals that the combination
of loop mobility and the presence of polar/charged groups in the replaced
amino acids compensates—at least in part—for the loss
of the native interactions and contributes in partially preserving
the shape of the relevant protein/protein binding interface.
N487,
Y489, and Y505
N487 is a S-RBDCoV-2 residue
that directly engages only two stabilizing intermolecular
HBs with the side chains of ACE2 Q24 and Y83 (3.03 ± 0.18 Å
and 2.88 ± 0.17 Å, respectively, Figure A). Both of these HBs contribute in cementing
the set of CIs developed within the hydrophobic patch lined by the
side chains of F28, L29, Q76, L79, M82, Y83, and L97 on ACE2, and
of F486 and Y489 on the viral protein (Figure A). Consistent with this, the absence of
these two HBs in the N487A or N487IS-RBDCoV-2 mutants
reflects in a non-negligible interface destabilization, quantified
by the corresponding variation of the binding free energies (ΔΔGCoV-2(N487A) = −2.25 ± 0.35
kcal/mol,[25] and ΔΔGCoV-2(N487I) = −2.39 ± 0.11 kcal/mol,
respectively, Table S2), in agreement with
experiment[36] (Figure A). However, these HBs (one or both) are
detected again in all alternative mutated protein/protein complex
MD trajectories, via the relevant HB donor/acceptor
(S487, T487, and W487) or charged moieties (D487 and K487) (Figure S22 and Table S24). The current mutagenesis results, in agreement with in
vitro data,[36] confirm the mildly
perturbing effects of all other S-RBDCoV-2 mutant
isoforms on the relative protein/protein binding interface (Figure A, Table S2, Figure S22, and Table S24). Y489 in S-RBDCoV-2 contributes to human receptor binding by contacting the side chains
of ACE2 residues Q24, Y83, T27, and K31 via van der
Waals/hydrophobic and polar intermolecular interactions (Figure C). Accordingly,
mutating Y489 into alanine and isoleucine quantified the strength
of this network as ΔΔGCoV-2(Y489A) = −2.96 ± 0.33 kcal/mol[25] and ΔΔGCoV-2(Y489I)
= −2.01 ± 0.17 kcal/mol (Table S2), respectively. However, when changing the native tyrosine into
S/T/D or K, stronger interface-destabilizing effects are predicted/observed[36] in all cases (Figure B), as a consequence of a more intensive
perturbation of this CI network (Table S2, Figure S23, and Table
S25).
Figure 17
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues N487 (A), Y489 (B), and
Y505 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S22–S24, and Tables S24–S26. (D) Main interactions involving the S-RBDCoV-2 Y505W mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other N487, Y489, and
Y505 mutants are shown in Figures S22–S24 (see also Tables S24–S26 for details).
Colors and other explanations are as in Figure .
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues N487 (A), Y489 (B), and
Y505 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S22–S24, and Tables S24–S26. (D) Main interactions involving the S-RBDCoV-2Y505W mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other N487, Y489, and
Y505 mutants are shown in Figures S22–S24 (see also Tables S24–S26 for details).
Colors and other explanations are as in Figure .Tyrosine at position 505 of the S-RBDCoV-2 is
a residue that—besides directly interacting with ACE2 (through
a HB with E37 (3.15 ± 0.24 Å) and two CIs with R393 and
K353) and establishing an intramolecular π-cation (π/c)
with the guanidinium group of R403 (Figure A)—plays an important role in reinforcing
the binding interface contacts involving topical residues such as
Y41 and D355 on the human protein and T500, N501, and Q498 on the
viral counterpart. In agreement with this, all considered Y505 mutants
(including the previously investigated Y505A, for which ΔΔGCoV-2(Y505A) = −3.27 ± 0.31
kcal/mol[25]) considerably reduce the binding
affinity of S-RBDCoV-2 for ACE2 with the exception
of the Y505K variant, for which an interface-stabilizing effect is
both predicted and observed[36] (Figure C and Table S2). As shown in panel D of Figure , the S-RBDCoV-2Y505 variant preserves the full network of intra- and intramolecular
interactions at the corresponding protein/protein interface, with
the addition of a new, stabilizing intermolecular HB across the binding
interface between the side chains of W505 and ACE2 R393 (3.10 ±
0.26 Å) (Figure D and Table S26). In energetic terms, this
translates to a slightly more favorable ΔΔG value for the W505 mutant with respect to the wild-type S-RBDCoV-2Y505 (ΔΔGCoV-2(Y505W) = +0.64 ± 0.19 kcal/mol, Figure C, and Table S2).
L455, F456, and F486
S-RBDCoV-2L455
occupies a cavity lined by the side chains of ACE2D30, K31, and H34,
with which it engages moderately stabilizing CIs (Figures A and 8A). As such, abrogating these interactions by replacing L455 with
alanine resulted in a limited decrement of the corresponding free
energy variation (ΔΔGCoV-2(L455A) = −1.21 ± 0.32 kcal/mol).[25] While both experimental[36] and
the present computational mutagenesis data report neutral-to-mild
interface destabilizing effects for the L455I/S/T/K mutants, in vitro/in silico data diverge when the
two remaining mutations (i.e., L455D and L455W) are
concerned (Figure A and Table S2; for a discussion on L455S
data, see Supporting Information).
Figure 18
Change in
binding free energy predicted by computational mutagenesis
of the S-RBDCoV-2 residues L455 (A), F456 (B), and
F486 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S25–S27, and Tables S27–S29.
Change in
binding free energy predicted by computational mutagenesis
of the S-RBDCoV-2 residues L455 (A), F456 (B), and
F486 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S25–S27, and Tables S27–S29.In particular, in the ACE2/(L455D)S-RBDCoV-2 complex,
besides all wild-type inter- and intramolecular interaction, MD simulations
reveal the formation of three further stabilizing contacts (Figure A, Table S27). Specifically, the viral mutant residue D455 engages
ACEH34 in a persistent HB (2.81 ± 0.15 Å), thereby allowing
H34 to interact with the viral tyrosine at position 453 via another HB across the binding interface (3.44 ± 0.22 Å)
(Figure A, Table S27). In addition, the negatively charged
side chain of D455 is able to form a stable intramolecular salt bridge
with K417 (3.74 ± 0.29 Å), so that the overall affinity
of the D455 isoform of the S-RBDCoV-2 for the human
receptor is higher than that of the wild-type S-protein (ΔΔGCoV-2(L455D) = +1.69 ± 0.06 kcal/mol, Figure A, and Table S2). In the case of the W455 mutant, again
all wild-type interactions are preserved according to the present
modeling (Figure B, Table S27); moreover, two extra HBs
are formed across the corresponding protein/protein binding region,
involving the side chains of W455 and D30 (2.94 ± 0.14 Å)
and of Y453 and H34 (3.21 ± 0.26 Å), respectively (Figure B, Table S27). In line, an increase in affinity of the W455 viral
mutant RBD for ACE2 is predicted (ΔΔGCoV-2(L455W) = +0.95 ± 0.19 kcal/mol, Figure , Table S2).
Figure 19
Main interactions involving the S-RBDCoV-2 D455
(A), W455 (B), K456 (C), and W456 (D) mutants at the interface with
ACE2 as obtained from the relevant equilibrated MD simulations. Images
for all other L455, F456, and F486 mutants are shown in Figures S25–S27 (see also Tables S27–S29 for details). Colors and other explanations
as in Figure .
Main interactions involving the S-RBDCoV-2D455
(A), W455 (B), K456 (C), and W456 (D) mutants at the interface with
ACE2 as obtained from the relevant equilibrated MD simulations. Images
for all other L455, F456, and F486 mutants are shown in Figures S25–S27 (see also Tables S27–S29 for details). Colors and other explanations
as in Figure .F456 of S-RBDCoV-2 does not form
direct intermolecular
HBs or SBs with any ACE2 residue; however, it provides three CIs across
the binding interface with the side chains of ACE2 T27, D30, and K31.
In addition, F456 engages an important stabilizing intramolecular
π/c interaction with K417 (thereby assisting
this lysine in salt-bridging ACE2D30), and an internal CI with the
side chain of the viral Y473 (Figures A and 8A). The previous CAS
study yielded a value of ΔΔGCoV-2(F456A) = −1.99 ± 0.28 kcal/mol, in line with the abrogation
of the underlying network of interactions.[25] In the present study, the replacement of the wild-type S-RBDCoV-2F456 with I, S, T, and D results in a negative
effect on the binding between ACE2 and the SARS-CoV-2 RBD, in agreement
with the relevant experimental findings[36] (Figure B, Table S2). On the other hand, the computational
data for the two remaining mutants (K456 and W456) predict interface
stabilization, while in vitro data support mildly
negative interfering effects (Figure B, Table S2). In the former
case, K456 provides further inter- and intramolecular stabilizing
interactions to the relative protein/protein complex, as this mutant
lysine engages ACE2 T27 and E23 in an HB (2.86 ± 0.10 Å)
and a SB (4.00 ± 0.24 Å), respectively, across the binding
interface and is further stabilized via an internal
HB (3.24 ± 0.19 Å) with the side chain of Y473 (Figure C, Table S28). Thus, the predicted relative variation of the
binding free energy is positive and equal to ΔΔGCoV-2(F456K) = +2.06 ± 0.17 kcal/mol
(Figure B, Table S2). For the W456 mutant, the preservation
of the wild-type interaction network coupled with the additional,
stable intermolecular HB between the mutant residue and the side chain
of ACE2D30 (3.16 ± 0.13 Å) leads to a slight stabilization
of the human receptor/viral protein, as quantified by the relevant
value of ΔΔGCoV-2(F456W)
= +0.89 ± 0.18 kcal/mol (Figure B, Table S2).S-RBDCoV-2 F486 plays a role utterly analogous
to that described above for F456 in stabilizing the protein/protein
binding interface by exchanging 3 intermolecular CIs with ACE2 residues
L79, M82, and Y83 itself (Figure A). When this aromatic residue was mutated into alanine,
the related variation of the binding free energy was predicted to
be ΔΔGCoV-2(F486A)
= −2.13 ± 0.32 kcal/mol.[25] The
present calculations and the corresponding experimental data[36] both predict a weak interface destabilizing
effect when this residue is mutated into all residues considered,
as shown in Figure C (see also Table 2, Figure S27, and Table S29; for a
discussion on F486W data, see Supporting Information).
Q493 and Q498
The polar glutamine residue located at
position 493 position along the SARS-CoV-2S-protein sequence engages
the side chains of ACE2K31 and E35 in two intermolecular SBs (3.04
± 0.25 Å and 2.94 ± 0.19 Å, respectively), the
−OH moiety of S494 in an internal HB (3.24 ± 0.21 Å),
and the side chain of the viral Y453 in van der Waals contacts (Figures A and 8A). Abrogation of these interactions in the Q493A mutant by
CAS predicted a ΔΔGCoV-2(Q493A) = −3.15 ± 0.29 kcal/mol.[25] On the other hand, exchanging Q493 for I/S/T/D/K/W both computationally
and experimentally[36] leads to a more variegated
free energy difference pattern (Figure A, Table S2).
In particular, both techniques mostly report interface neutral-to-disrupting
effects for all residues except for the Q493K variant, for which an
interface stabilizing effect is jointly determined (Figure A, Table
S2, Figure S28, and Table S30; for a discussion on Q493I, Q493T, and Q493W data,
see Supporting Information). In detail,
the analysis of the MD simulation of the K493 S-RBDCoV-2 mutant bound to ACE2 shows that all interactions seen in the wild-type
complex are preserved (Figure C, Table S30); in addition,
in the presence of K493 the single SB with E35 become bifurcated (3.77
± 0.21 Å and 3.95 ± 0.17 Å, respectively), and
an intermolecular HB between Y453 on the S-protein and H34 on ACE2
replaces the wild-type polar interaction (Figure C, Table S30).
Thus, the variation in binding free energy is slight favorable to
the mutant isoform (ΔΔGCoV-2(Q493K) = +0.76 ± 0.11 kcal/mol, Figure A, and Table S2), in agreement with the experimental evidence.[36]
Figure 20
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues Q493 (A) and Q498 (B)
for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S27–S28, and Tables S30–S31. (C) Main interactions involving the S-RBDCoV-2 Q493K mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other Q493 and Q498 mutants
are shown in Figures S27–S28 (see
also Tables S29–S30 for details).
Colors and other explanations as in Figure .
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues Q493 (A) and Q498 (B)
for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S27–S28, and Tables S30–S31. (C) Main interactions involving the S-RBDCoV-2Q493K mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other Q493 and Q498 mutants
are shown in Figures S27–S28 (see
also Tables S29–S30 for details).
Colors and other explanations as in Figure .Our previous computational efforts have highlighted Q498 as a viral
protein/receptor binding hot spot,[25] since
it was seen to play a major role in shaping the relevant region of
the protein/protein binding interface. Precisely, Q498 has anchored
ACE2 D38 and K353 in two topical intermolecular HBs (2.92 ± 0.19
Å and 2.87 ± 0.13 Å, respectively) along with favorable
intermolecular CIs with the side chains of Q42 and Y41; moreover,
the same glutamine internally H-binds N501 (3.02 ± 0.18 Å)
and Y449 (3.04 ± 0.18 Å), as shown in Figure A. The CAS study also reported
that the substitution of Q498 with alanine was accompanied by a substantial
loss in binding free energy (ΔΔGCoV-2(Q498A) = −5.36 ± 0.37 kcal/mol).[25] Consistent with these data, the current in silico mutagenesis data and the relative experimental
evidence[36] agree on the interface-disrupting
role for all mutants considered, with the interesting exception of
the Q498W substitution for which the experiment reports a weak positive
effect, while the present MD simulations report a substantial decrease
in receptor affinity for this mutant (ΔΔGCoV-2(Q498W) = −4.18 ± 0.11 kcal/mol, Figure B, Table S2, Figure S29, and Table S31; for a discussion on Q498W data, see Supporting Information).
N501, R403, and K417
Previous modeling[25] and experimental
X-ray/TEM[20−23] data showed that N501 on S-RBDCoV-2 is only involved
in one intermolecular HB with
ACE2 Y41 (3.23 ± 0.22 Å), a polar interaction with ACE2K353 across the binding interface, and an internal HB with Q498, as
just discussed a few lines earlier (Figure A). As such, the total free energy change
for mutating N501 in alanine in our CAS study was reported to be small,
and equal to ΔΔGCoV-2(N501A) = −2.40 ± 0.28 kcal/mol.[25] Both in silico and experimental data[36] presently suggest mostly neutral-to-disrupting
protein/protein binding effects, with an exception made for the T501
mutant, for which computational mutagenesis predicts a weak interface-stabilizing
outcome, in agreement with experiment (Figure A, Table S2, Figure S30, and Table S32; for a discussion on N501W data, see Supporting
Information). As shown in panel D of Figure , the T501 mutation is able to establish
the same interaction network that characterizes the wild-type N501S-RBDCoV-2/ACE2 complex, with additional stabilization
provided by a double (instead of single) intermolecular HB between
Q498 on the viral protein and the side chain of K353 on the human
receptor (2.76 ± 0.11 Å and 3.06 ± 0.16 Å, respectively)
(see also Table S31). Based on these data,
the predicted relevant variation of the binding affinity of the T501
variant for ACE2 is equal to ΔΔGCoV-2(N501T) = +0.28 ± 0.11 kcal/mol (Figure A, Table S2).
Figure 21
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues N501 (A), R403 (B), and
K417 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S30–S32, and Tables S32–S34. (D) Main interactions involving the S-RBDCoV-2 N501T mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other N501, R403, and
K417 mutants are shown in Figures S30–S32 (see also Tables S32–S34 for details).
Colors and other explanations are as in Figure .
Change in binding free energy predicted by computational
mutagenesis
of the S-RBDCoV-2 residues N501 (A), R403 (B), and
K417 (C) for the corresponding ACE2/S-RBDCoV-2 complexes.
The numerical values of ΔΔG, all related
energy terms, and all underlying intermolecular/intramolecular interactions
are reported in Table S2, Figures S30–S32, and Tables S32–S34. (D) Main interactions involving the S-RBDCoV-2N501T mutant at the interface with ACE2 as obtained from the relevant
equilibrated MD simulations. Images for all other N501, R403, and
K417 mutants are shown in Figures S30–S32 (see also Tables S32–S34 for details).
Colors and other explanations are as in Figure .R403 is a S-RBDCoV-2 residue that salt-bridges
ACE2 E37 (3.62 ± 0.39 Å), internally anchors the side chain
of D405 in another SB (3.95 ± 0.37 Å), and engages two intramolecular
CIs with Y505 (π/c) and Y505 (van der Waals/hydrophobic interactions)
(Figure A). Mutating
this positively charged residue into alanine provided a ΔΔGCoV-2(R403A) of −4.25 ± 0.39
kcal/mol,[25] flagging R403 as another viral
protein hot spot for receptor binding. In support of the importance
of this residue, mutating R403 into all residues considered both in silico and in vitro(36) results in detrimental effects on these viral protein/human
protein complexes, with a neutral effect for the conservative mutation
R403K (Figure B, Table S2, Figure S31, and Table S33).Finally, the viral
residue K147 affords one interface stabilizing
SB with the side chain of ACE2D30 (3.85 ± 0.41 Å), along
with two intramolecular CIs with F456 (π/c) and L455 (van der
Waals/hydrophobic), respectively (Figures A and 8A). The abrogation
of these interactions resulting from the replacement of this lysine
with alanine yielded a moderately unfavorable value of the corresponding
binding free energy (ΔΔGCoV-2(K417A) = −2.72 ± 0.34 kcal/mol).[25] The present results, in tandem with the corresponding experimental
data,[36] also support relative interface
destabilizing effects in the presence of all mutants considered (Figure C, Table S2, Figure S32, and Table S34).
Conclusions
While
preparing this work, the major government entities around
the world are acting to address COVID-19 and are issuing emergency
use authorization for some of the available COVID-19 vaccines[37] to face the still-spreading pandemic; the quest
for alternative prevention or treatment regimens directed against
the SARS-CoV-2 is progressively and dynamically ongoing worldwide.
While vaccines directed against this deadly pathogens are becoming
available, the repurposing of clinically approved drugs might offer
a further, fast lane to anti-COVID-19 effective therapies,[38−41] whereas alternative approaches to target ACE2 and possibly other
host cellular and/or pathogen proteins could ultimately result in
active therapeutic and/or prophylactic agents against viral infection.[42−45] All these alternative strategies might further provide early protection
against viral infection by blocking host cell–viral interaction,
and therefore reduce the associated severe pathological symptoms;
however, extensive in vitro and in vivo experimental campaigns are unconditionally mandatory before such
treatments can be translated into the clinics. From this perspective,
the purpose of this work was to provide an atomistic-based, in silico view of the role eventually played by possible
mutations on both the S-RBDCoV-2 and its host cellular
receptor ACE2 at the relevant protein/protein interface, with the
ultimate goal to suggest precise targets for the structure-based design
and development of neutralizing antibodies, vaccines, and protein/protein
inhibitors so urgently needed in the current fight against this terrible
pandemic. Accordingly, we have simulated different mutation types
(hydrophobic, polar, charged, and bulky) at all different residues
of ACE2 and S-RBDCoV-2 that form most of the protein–protein
interface and estimated the variation in the corresponding free energy
of binding. Moreover, the computer-based predicted results were challenged
against available experimental data.[35,36] The achievement
of a 92% reliability not only validated the adopted in silico approach but also allowed a clear-cut molecular rationale for the
relevant in vitro data. As could be anticipated,
most of the studied mutations act as protein–protein interface
destabilizers; however, a non-negligible number of mis-sense variations
are predicted to enhance ACE2/S-RBDCoV-2 binding;
in particular, the variants Q24T, T27D/K/W, D30E, H34S/T/K, E35D,
Q42K, L79I/W, R357K, and R393K on ACE2 and L455D/W, F456 K/W, Q493K,
N501T, and Y505W on the S-protein receptor binding domain, respectively,
are expected to increase the affinity of each mutant isoforms for
the corresponding protein counterpart. Such mutagenesis methodology
and the relevant results could be further adopted/exploited to investigate
allelic variants (AVs) of the ACE2 receptor and/or the S-RBDCoV-2 progressively discovered in COVID-19patients, with the ultimate
goal of verifying if any of such AVs could be eventually associated
with different degrees of clinically observed viral pathogenicity.
Methods
All calculations reported
in this work were performed in AMBER19[46] starting from the structure of the ACE2/S-RBDCoV-2 complex (PDB ID 6M0J)[22] and optimized
in our previous work.[25] The role of the
selected mutations at each protein/protein interface key position
was studied by performing a combination of Molecular Mechanics/Poisson–Boltzmann
Surface Area (MM/PBSA),[47] our consolidated
computational mutagenesis,[48−56] and Interaction Entropy methods.[57] All
details are reported in the extended Methods section of the Supporting Information. The coordinate files and force
field parameters for the ACE2Zn2+ binding site and the
input coordinate file (PDB) were already released as Supporting Information
of our previous work.[25]
Authors: Fabian Zech; Daniel Schniertshauer; Christoph Jung; Alexandra Herrmann; Arne Cordsmeier; Qinya Xie; Rayhane Nchioua; Caterina Prelli Bozzo; Meta Volcic; Lennart Koepke; Janis A Müller; Jana Krüger; Sandra Heller; Steffen Stenger; Markus Hoffmann; Stefan Pöhlmann; Alexander Kleger; Timo Jacob; Karl-Klaus Conzelmann; Armin Ensser; Konstantin M J Sparrer; Frank Kirchhoff Journal: Nat Commun Date: 2021-11-25 Impact factor: 14.919