Julia J Liang1,2, Eleni Pitsillou1,2, Katherine Ververis1, Victor Guallar3,4, Andrew Hung2, Tom C Karagiannis1,5. 1. Epigenomic Medicine, Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia. 2. School of Science, STEM College, RMIT University, VIC 3001, Australia. 3. Barcelona Supercomputing Center, Jordi Girona 29, E-08034 Barcelona, Spain. 4. ICREA, Passeig Lluís Companys 23, E-08010 Barcelona, Spain. 5. Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3052, Australia.
Abstract
The SARS-CoV-2 papain-like (PLpro) protease is essential for viral replication. We investigated potential antiviral effects of hypericin relative to the well-known noncovalent PLpro inhibitor GRL-0617. Molecular dynamics and PELE Monte Carlo simulations highlight favourable binding of hypericin and GRL-0617 to the naphthalene binding pocket of PLpro. Although not potent as GRL-0617 (45.8 vs 1.6µM for protease activity, respectively), in vitro fluorogenic enzymatic assays with hypericin show concentration-dependent inhibition of both PLpro protease and deubiquitinating activities. Given its use in supplementations and the FDA conditional approval of a synthetic version, further evaluation of hypericin as a potential SARS-CoV-2 antiviral is warranted.
The SARS-CoV-2 papain-like (PLpro) protease is essential for viral replication. We investigated potential antiviral effects of hypericin relative to the well-known noncovalent PLpro inhibitor GRL-0617. Molecular dynamics and PELE Monte Carlo simulations highlight favourable binding of hypericin and GRL-0617 to the naphthalene binding pocket of PLpro. Although not potent as GRL-0617 (45.8 vs 1.6µM for protease activity, respectively), in vitro fluorogenic enzymatic assays with hypericin show concentration-dependent inhibition of both PLpro protease and deubiquitinating activities. Given its use in supplementations and the FDA conditional approval of a synthetic version, further evaluation of hypericin as a potential SARS-CoV-2 antiviral is warranted.
Severe acute respiratory syndrome coronavirus
2 (SARS-CoV-2) is the highly transmissible pathogen responsible for
coronavirus disease 2019 (COVID-19) and the evolving pandemic
[1]. A number of
SARS-CoV-2 variants of concern have been identified by the World Health
Organization (WHO), and the increased transmissibility or virulence of
emerging variants continues to be a challenge [2]. Upon entry into host cells, the
single-stranded RNA genome (positive-sense) is released into the
cytoplasm and the polyproteins pp1a and pp1ab are produced from the
translation of the open reading frames (ORF1a and ORF1b) [3], [4]. The polyproteins
are cleaved by two cysteine proteases, the main protease (Mpro) and papain-like protease (PLpro), to form 16 non-structural proteins (nsps)
[3], [4].
The Mpro is located at nsp5 and the PLpro domain is encoded within nsp3 [3].Cysteine proteases play an essential role in
the virus life cycle and have been identified as promising drug targets
[5]. The
SARS-CoV-2 PLpro is comprised of an
N-terminal ubiquitin-like domain (Ubl), thumb domain, finger domain, and
palm domain (Figure 1
A). The protease activity of PLpro is coordinated by the conserved catalytic
triad residues C111, H272, and D286 (Figure 1A) [6], [7]. The SARS-CoV-2
PLpro recognises the P4-P1 consensus
sequence LXGG (X = any amino acid) and hydrolyses the peptide bond that
is found between nsp1-nsp2, nsp2-nsp3, and nsp3-nsp4
(P4-P1↓P1’) [8]. This results in the release of nsp1, nsp2, and
nsp3 [8].
Figure 1
Classical MD simulation of ligands bound with SARS-CoV-2
PL A) The SARS-CoV-2
PLpro is composed of four main domains;
the Ubl, thumb, fingers, and palm domain. PLpro also contains four subsites highlighted in surface
representation: S1 and S2 for ubiquitin- and ISG16-binding, and
naphthalene-based inhibitors bind in the S3 and S4 subsites. Protease
activity is mediated by catalytic triad residues in the active site. B)
Chemical structures of GRL-0617, hypericin, and its isomer. C) MD
simulations were performed for 1000 ns. Root mean square deviation (RMSD)
of PLpro protein backbone. D) Root mean
square fluctuation (RMSF) of PLpro backbone
throughout the trajectory. Data for the apo PLpro is shown in grey, GRL-0617-bound in red, hypericin-bound
in blue, and hypericin-isomer-bound in green.
Classical MD simulation of ligands bound with SARS-CoV-2
PL A) The SARS-CoV-2
PLpro is composed of four main domains;
the Ubl, thumb, fingers, and palm domain. PLpro also contains four subsites highlighted in surface
representation: S1 and S2 for ubiquitin- and ISG16-binding, and
naphthalene-based inhibitors bind in the S3 and S4 subsites. Protease
activity is mediated by catalytic triad residues in the active site. B)
Chemical structures of GRL-0617, hypericin, and its isomer. C) MD
simulations were performed for 1000 ns. Root mean square deviation (RMSD)
of PLpro protein backbone. D) Root mean
square fluctuation (RMSF) of PLpro backbone
throughout the trajectory. Data for the apo PLpro is shown in grey, GRL-0617-bound in red, hypericin-bound
in blue, and hypericin-isomer-bound in green.The immunomodulating activities of the
SARS-CoV-2 PLpro are also being explored.
Ubiquitination is a posttranslational modification that regulates
cellular pathways, including immune responses to viral infections
[9]. The
C-terminus of ubiquitin and ubiquitin-like proteins, which carries the
LXGG motif, binds to target proteins by forming a covalent isopeptide
bond with the ε-amino group of lysine side chains [10]. Studies have
demonstrated that the SARS-CoV and SARS-CoV-2 PLpro have deubiquitinating and deISGylating activities, which
result in the inhibition of the antiviral immune response [10], [11]. The SARS-CoV
and SARS-CoV-2 PLpro preferentially target
ubiquitin chains and interferon-stimulated gene 15 (ISG15), respectively
[6], [10], [11], [12]. Furthermore, two ubiquitin binding sites
(SUb1 and SUb2) have been identified in PLpro
and the SUb2 region facilitates the binding of K48-diubiquitin or
-polyubiquitin and ISG15 [13]. In comparison to the SUb2 site, the active site
and SUb1 site of the SARS-CoV and SARS-CoV-2 PLpro exhibit high conservation at the amino acid level
[6].Due to PLpro
being a multifunctional protein, it is an attractive target for
therapeutic agents [14]. Covalent inhibitors of the SARS-CoV-2 PLpro, such as VIR250 and VIR251, have predominantly
been designed to modify the catalytic triad residue C111 through a
Michael Addition reaction and form a covalent thioether bond
[6]. Ebselen, an
organoselenium drug, and its analogues have also been identified as
covalent inhibitors of the SARS-CoV and SARS-CoV-2 PLpro
[15]. Moreover,
noncovalent inhibitors have gained a significant amount of attention and
this includes naphthalene-based compounds [16]. GRL-0617 was initially developed as a
noncovalent inhibitor of the SARS-CoV PLpro
and has been found to inhibit the SARS-CoV-2 PLpro
[11], [17].
The naphthalene-based inhibitor binds to the S3 and S4 subsites and is
positioned in a cleft that leads to the active site [7], [8], [11], [17], [18].Using molecular docking and enzymatic assays,
we previously identified hypericin as a potential lead compound from a
library of 300 ligands for the inhibition of the SARS-CoV-2 PLpro
[19], [20].
The naphthodianthrone hypericin is a secondary metabolite found in St.
John’s Wort (Hypericum perforatum) and the broad
pharmacological activities of this compound have been reported
[21]. Hypericin
has also been identified as a potential inhibitor against the SARS-CoV-2
Mpro
[22], [23].
The chemopreventative properties of synthetic hypericin (SGX-301) have
been of particular interest and the clinical development of SGX-301 as a
photosensitising agent for the treatment of cutaneous T-cell lymphoma is
underway in the European Union and USA [24].Here, our aim was to investigate the
potential PLpro inhibition activity of
hypericin relative to the well-known noncovalent inhibitor GRL-0617. We
performed comparative in silico all-atom
microsecond molecular dynamics and Protein Energy Landscape Exploration
(PELE) Monte Carlo simulations to investigate the stability and
interactions of hypericin and GRL-0617 with the PLpro naphthalene binding pocket. Further, we performed
in vitro PLpro
protease and deubiquitinase activity assays to determine the inhibition
activity of hypericin in comparison to GRL-0617.
Materials and Methods
All-atom molecular dynamics
simulations
GRL-0617, hypericin and its isomer were
docked using the quantum-mechanics polarised ligand docking (QPLD)
protocol of the Schrödinger suite [25], [26] to the naphthalene binding site
of SARS-CoV-2 PLpro (PDB ID: 7JRN)
[27] to serve
as starting structures for simulations, as previously described
[20].
Briefly, a 20 x 20 x 20 Ǻ receptor grid was centred around residues
surrounding the co-crystallised ligand. Using the QPLD docking
protocol, initial docking was carried out with the extra precision
(XP) scoring function of Glide [28], and partial charges of the ligand were
calculated using quantum mechanical methods with the ‘accurate’
setting in Jaguar [29]. Subsequent re-docking was performed with XP
docking mode, with final poses selected based on GlideScore. The
docked GRL-0617 had an RMSD of 0.52 Ǻ compared to the crystal
structure. SwissParam was used to generate ligand topologies
[30].Molecular dynamics (MD) simulations using
GROMACS 2018.2 software [31], [32] were performed with the CHARMM27 force
field [33], [34], as previously described [23]. The TIP3P water model
[35] was used
to solvate the protein-ligand complexes in a dodecahedral box with a
distance of 2.0 nm between protein atoms and the box edge. The system
was neutralised with sodium ions, and underwent energy minimisation
using the steepest-descent gradient method. Equilibration was
performed with the canonical (NVT) ensembled followed by an
isothermal-isobaric ensemble (NPT) for 100 ps. A modified Berendsen
thermostat [36]
was used to maintain a temperature of 310 K, and pressure at 1.0 bar
the Parrinello-Rahman barostat [37]. The LINCS algorithm [38] was applied to
constrain bond lengths, particle-mesh Ewald scheme (PME) [39] was used to calculate
long-range electrostatic forces (grid spacing 0.16 nm), and cut-off
ratios for Coulomb and van der Waals potentials were set at 1.2 nm.
Production runs were carried out for 1000 ns with a time-step of 2 fs.
Additional simulations were performed for 100 ns in
triplicate.Simulated trajectories were visualised and
analysed using Visual Molecular Dynamics 1.9.3 [40] and PyMOL
[41].
Analysis tools included within the GROMACS software package were
utilised, including gmx rms and gmx rmsf for calculation of RMSD and
RMSF for the protein backbone. Clusters of similar structures based on
RMSD of the protein backbone were calculated for the entire trajectory
using gmx cluster, utilising the gromos clustering algorithm as
described by Daura et al. [42]. An RMSD cut-off of 0.2 nm was used to define
two structures as neighbours to obtain approximately 32 clusters for
each system. The central structure of each cluster was written for
analysis. The number of contacts between residues of PLpro and the ligands was calculated using gmx
mindist with a threshold of 0.45 nm to define a contact [31], [32]. This was
calculated as an average number between the ligand and each residue
throughout the entire trajectory.
PELE Monte Carlo energy landscape
explorations
Protein energy landscape exploration
(PELE) analysis was performed as described previously [23], [43]. Briefly,
binding sites for GRL-0617 and hypericin were identified on the
SARS-CoV-2 PLpro using an adaptive-PELE
Monte Carlo (MC) search. This involves random placement of fully
solvated ligands with no direct contact with the protein (40 initial
positions) to undertake an unsupervised global search and local
refinement of binding sites along the entire protein surface
[43]. The
process involves approximately 256,000 PELE steps to provide 100
epochs, or rounds, of 10 Monte Carlo steps using 256 computing cores
for global sampling of combined large (∼3 Ǻ) and short (∼1 Ǻ) ligand
translations [43].Following the global search, the best
poses from local minima with lower interaction energy were used to
define initial structures for local refinement. Local refinement was
performed with shorter simulations involving smaller ligand
translations and rotations; 10 epochs of 24 MC steps (20-30 computing
cores per minima). The integrated PELE protein-ligand interaction
energy was calculated for analysis by subtracting the receptor and
ligand energies from the complex at a given geometry, using the
OPLS-AA force with a generalised surface Born solvent model
[43]. This
produced unbiased binding sites which were discriminated among the
GRL-0617 and hypericin ligands.
Fluorogenic PLpro protease and deubiquitinase inhibition
assays
To investigate the inhibitory activity of
small molecules in vitro, proprietary PLpro protease and deubiquitinase assay kits,
which contain the recombinant PLpro and
appropriate substrates, were utilised according to the manufacturer’s
protocols (BPS Bioscience, San Diego, CA, USA). Hypericin (89%, HWI
pharma services GmbH, Germany), was prepared as a 20mM stock and
stored at -80°C until use. Working stocks of hypericin were prepared
by doubling dilution to achieve final concentrations in the range of
1.5 – 200μM. The positive internal control GRL-0617 was used at final
concentration of 100μM. Following incubation the fluorogenic substrate
(excitation wavelength = 360nm) was measured at 460nm using a
CLARIOstar microplate reader (BMG Labtech, Ortenberg, Germany), at
gains of 1164 and 1460 for the protease and deubiquitinase assays,
respectively, to ensure that both background and test values were in
an appropriate range for accurate detection. In both assays, the test
inhibitors were assayed in triplicate; six determinations were made
for the background and nine for total PLpro protease and deubiquitinase activities and the
GRL-0617 positive control. Absolute fluorescence intensity values at
460 nm were measured, and % protease inhibition activity at 100μM
hypericin and GRL0617, and IC50 values for
hypericin were calculated.
Results and Discussion
Structural effects in response to ligand
binding to the PLpro naphthalene binding
site
MD simulations were performed using
previously identified [20] compounds GRL-0617, hypericin, and its isomer
(Figure 1B)
with trajectories spanning 1000 ns. Analysis of the PLpro trajectories show a jump in protein
backbone RMSD approximately halfway through the simulation for the apo
and GRL-0617-bound PLpro (Figure 1C). The average
RMSD of apo PLpro went from 0.20 to 0.55
nm at 544 ns. Similarly, the RMSD of GRL-0617-bound PLpro jumps from 0.20 to 0.50 nm at 520 ns.
Hypericin-bound PLpro briefly has an RMSD
of 0.20 nm for the first 15 ns before maintaining an average RMSD of
0.58 nm for the remaining trajectory. Hypericin-isomer-bound PLpro quickly reaches equilibrium, with the
trajectory maintaining a stable average RMSD of 0.22 nm after 1 ns.
Triplicate 100 ns trajectories also showed that all systems reached
equilibrium within 10 ns (Figure S1). The number of hydrogen bonds
within the protein were similar for all systems, with averages of 236
for apo, 233 for GRL-0617-bound, and 230 for hypericin and its
isomer-bound PLpro (Figure S2).Similar trends are observed in cluster
analysis, which show two distinct conformations of PLpro that dominate throughout the trajectory
(Figure 2
). Both the apo-PLpro and GRL-0617-bound PLpro
adopt a similar conformation for the first half of the trajectory,
with frames corresponding to cluster 1 structures for 41.9% and 44.5%
of the trajectory in apo and GRL-0617-bound systems respectively. For
the second half of the trajectory, the cluster 2 structure is
dominant, with 40.4% of apo and 44.0% of GRL-0617-bound PLpro frames of the trajectory corresponding to
this conformation. The hypericin analogue-bound PLpro systems adopt a single conformation for the majority
of the trajectory. Hypericin-bound PLpro
maintains the equivalent of apo and GRL-0617-bound cluster 2
conformation for 78.4% of the trajectory. Conversely,
hypericin-isomer-bound PLpro maintains a
conformation corresponding to the cluster 1 structures for apo and
GRL-0617 for 82.1% of the trajectory. It is noted that this
conformation is close to the crystal structure. The apo cluster 1
structure has an RMSD of 1.55 Ǻ compared to the crystal structure,
whereas the cluster 2 structure has an RMSD of 5.45 Ǻ (Table S1). The
differences between the structures can be attributed to the Ubl-domain
(Figure S3).
Figure 2
Cluster analysis of 1000 ns MD simulation trajectories of
SARS-CoV-2 PL A)
Heatmap depicting cluster number throughout the trajectory. The top six
clusters from 100,000 frames are depicted for each system. B) Structures
from different systems similar to cluster 1 of apo PLpro, with the proportion of frames shown as a percentage. C)
Structures from different systems similar to cluster 2 of apo PLpro, with the proportion of frames shown as a
percentage. Structures for the apo PLpro are
shown in grey, GRL-0617-bound in red, hypericin-bound in blue, and
hypericin-isomer-bound in green.
Cluster analysis of 1000 ns MD simulation trajectories of
SARS-CoV-2 PL A)
Heatmap depicting cluster number throughout the trajectory. The top six
clusters from 100,000 frames are depicted for each system. B) Structures
from different systems similar to cluster 1 of apo PLpro, with the proportion of frames shown as a percentage. C)
Structures from different systems similar to cluster 2 of apo PLpro, with the proportion of frames shown as a
percentage. Structures for the apo PLpro are
shown in grey, GRL-0617-bound in red, hypericin-bound in blue, and
hypericin-isomer-bound in green.RMSF analysis indicates the fluctuation in
RMSD may be attributed to the N-terminal Ubl domain of PLpro (Figure 1D), which demonstrated the greatest
flexibility in the protein. All ligands are shown to suppress RMSF,
with hypericin and its isomer more effective than GRL-0617, especially
at the Ubl domain (Figure 1D). This is likely due to hypericin
analogue-bound PLpro systems remaining in
a single cluster conformation for ∼80% of the trajectory
(Figure 2).
The blocking loop 2 (BL2, GNYQCGH) region is flexible, with these
residues having a higher RMSF for hypericin-bound compared to the
isomer and GRL-0617-bound PLpro. In
particular, Y268 had an RMSF of 0.54 nm in apo and 0.44 nm in
hypericin-bound PLpro, compared to values
of 0.24 and 0.26 nm in GRL-0617 and hypericin-isomer-bound PLpro, respectively (Figure 1D).
Stability of compounds bound to the
PLpro active site
Visual analysis of trajectories indicates
a largely stable enzyme with contraction and expansion of the Ubl
domain corresponding to conformational changes described by changes in
RMSD and cluster analysis (Movies S1 to S4). GRL-0617 stays firmly
bound to the naphthalene binding site throughout the trajectory (Movie
S2), reinforcing its validity as a positive control. Contacts analysis
demonstrates the proximity of the ligand with key residues in the
naphthalene binding pocket (Figure 3
), particularly Y268 which had an
average of 107 contacts with GRL-0617 throughout the trajectory. Also
prominent was D164 (65 contacts) and P248 (69 contacts). Analysis of
hydrogen bonds indicates that GRL-0617 demonstrated a greater average
number of hydrogen bonds were formed with PLpro, forming an average of 2.34 hydrogen bonds with
PLpro, compared with values of 0.76 and
0.83 for hypericin and its isomer (Figure S2). Similarly, the isomer
of hypericin also remained bound to the naphthalene binding pocket for
the duration of the trajectory (Movie S4), forming contacts with
similar residues. Y268 is the most frequent residue, forming an
average of 139 contacts with the hypericin isomer throughout the
trajectory. Contacts were also formed between the hypericin isomer and
residues located deeper within the binding site, including R166 (65
contacts) and M208 (16 contacts) (Figure 3).
Figure 3
Number of contacts between residues of SARS-CoV-2 PL The average
number of contacts throughout the trajectory between all residues of
PLpro and bound ligands was calculated for
A) GRL-0617, B) hypericin, and C) the isomer of hypericin. Residue
interactions are shown for the final frame of the trajectory. Data for
the GRL-0617-bound PLpro is shown in red,
hypericin-bound in blue, and hypericin-isomer-bound in
green.
Number of contacts between residues of SARS-CoV-2 PL The average
number of contacts throughout the trajectory between all residues of
PLpro and bound ligands was calculated for
A) GRL-0617, B) hypericin, and C) the isomer of hypericin. Residue
interactions are shown for the final frame of the trajectory. Data for
the GRL-0617-bound PLpro is shown in red,
hypericin-bound in blue, and hypericin-isomer-bound in
green.While ligand unbinding was initially
observed, hypericin re-attaches to the enzyme at approximately 150 ns
into the trajectory at the active site of the enzyme in proximity to
the catalytic triad residues (Movie S3). This is also illustrated in
Figure S4 depicting the distance between ligands and the catalytic
triad residues throughout the trajectory. Hypericin initially deviates
from the naphthalene binding site before binding to the active site of
PLpro
, with an average distance of 0.95 nm from
the catalytic triad residues after 150 ns. This is closer than
GRL-0617 and the hypericin isomer, which were 1.38 and 1.61 nm from
the catalytic triad residues, respectively (Figure S4). While modest,
contacts are observed between hypericin and the catalytic C111, H272
and D286 residues (Figure
3). The most frequent residue in contact with
hypericin throughout the trajectory was W106 (127 contacts). Although
hypericin was binding to a different site to its isomer and GRL-0617,
Y268 is still among the most prominent residues, forming an average of
96 contacts with hypericin. This residue is located within the BL2
loop, which ordinarily caps the naphthalene binding site [7], but in this case is
flipped downwards to an open conformation, accommodating binding of
hypericin with the catalytic residues in the active site. This is
supported by the higher RMSF of Y268 (Figure 1D) for hypericin-bound PLpro, as well as the RMSD observed for BL2 loop
residues (Figure S5). The RMSD of BL2 loop residues remain relatively
stable for GRL-0617 and hypericin isomer-bound PLpro, with average values of 0.25 and 0.42 nm for the
entire trajectory, respectively. The ligand-free PLpro shows the BL2 loop flipping open and closed for the
first 400 ns, before remaining closed to cap the naphthalene binding
site for the remainder of the trajectory with an average RMSD of 0.22
nm (Figure S5). This may indicate that as well as capping the
naphthalene binding site, the BL2 loop functions to secure ligand
binding to the active site. This suggests a ligand-mediated
induced-fit mechanism which prevents the binding of natural LXGG
motif-containing substrates, resulting in the inhibition of both the
protease and deubiquitinase activities of PLpro
[7], [17], [44].
PELE Monte Carlo simulations highlight
ligand interactions with PLpro binding
pockets
Adaptive-PELE Monte Carlo simulations were
performed with GRL-0617 and hypericin to identify binding modes on
PLpro. The plot in Figure 4
depicts all the interaction energies
for poses explored by PELE against the RMSD to the initial crystal
structure of GRL-0617. Only using the crystal structure as analysis,
the best protein-ligand poses with the lowest interaction energies
were located in the naphthalene binding site (Figure 4A). These poses are
at 1 Ǻ and 3 Ǻ from the crystal structure, producing binding
affinities of -38 and -39 kcal/mol, respectively, with residue
interactions similar to that of the co-crystallised GRL-0617
(Figure 4C).
This shows that PELE reproduces the crystal structure.
Figure 4
PELE binding site search of GRL-0617 on SARS-CoV-2 PL A) Interaction energy plot vs
RMSD distance to the crystallographic position GRL-0617 in the
naphthalene binding site. The global search is shown in dark blue and
structures of the first epoch are shown in cyan, showing that initial
positions are not close to the crystal structure. B) The two best poses
following global refinement of GRL-0617 are numbered. C) Residue
interactions for co-crystallised GRL-0617, and poses identified following
PELE analysis. Hydrogen bonds are depicted as dashed blue
lines.
PELE binding site search of GRL-0617 on SARS-CoV-2 PL A) Interaction energy plot vs
RMSD distance to the crystallographic position GRL-0617 in the
naphthalene binding site. The global search is shown in dark blue and
structures of the first epoch are shown in cyan, showing that initial
positions are not close to the crystal structure. B) The two best poses
following global refinement of GRL-0617 are numbered. C) Residue
interactions for co-crystallised GRL-0617, and poses identified following
PELE analysis. Hydrogen bonds are depicted as dashed blue
lines.Hypericin was also found to bind to the
naphthalene binding site, with pose 1 (Figure 5
) producing a binding affinity of -47
kcal/mol. As well as the naphthalene binding pocket, additional
binding sites were identified for hypericin. Notably, pose 2
(Figure 5)
was near the catalytic triad residues, positioned in a similar manner
to hypericin following MD simulation (Figure 3, Movie S3). This pose had a
binding affinity of -46 kcal/mol, forming hydrogen bonds with N109,
C270, L274, and the catalytic D286. Additional poses were identified
with comparable binding energies: pose 3 between the palm and thumb
domains (-53 kcal/mol) and pose 5 located on the Ubl-like domain (-48
kcal/mol). Pose 4 (-51 kcal/mol) was in the zinc finger domain,
forming a hydrogen bond with the zinc-coordinating residue C189
(Figure 5C).
This residue has been targeted for inhibition with other small
molecules to disrupt zinc binding in SARS-CoV-2 PLpro
[45]. Overall
these findings indicate that hypericin preferentially binds to the
canonical naphthalene binding and active sites associated with
inhibition of the PLpro, and also may
possess zinc-modifying properties [45].
Figure 5
PELE binding site search of hypericin on SARS-CoV-2 PL A) Interaction energy plot vs
RMSD distance to initial position of hypericin in the naphthalene binding
site. The global search is shown in dark blue and locally refined poses
are shown in cyan. B) The best five poses following local refinement of
hypericin are numbered. C) Residue interactions for poses identified
following PELE analysis. Hydrogen bonds are depicted as dashed blue
lines.
PELE binding site search of hypericin on SARS-CoV-2 PL A) Interaction energy plot vs
RMSD distance to initial position of hypericin in the naphthalene binding
site. The global search is shown in dark blue and locally refined poses
are shown in cyan. B) The best five poses following local refinement of
hypericin are numbered. C) Residue interactions for poses identified
following PELE analysis. Hydrogen bonds are depicted as dashed blue
lines.
Hypericin inhibits the SARS-CoV-2 PLpro protease and deubiquitinase activities
in vitro
We have previously investigated the in
vitro PLpro protease and deubiquitinase
inhibitory activities of small molecules including those of hypericin
[19], [20]. Here, our findings confirm the
concentration-dependent inhibition of PLpro protease and deubiquitinase activities of hypericin
(Figure 6
). At a concentration of 100µM,
hypericin possessed inhibition activities (97.9 ± 1.8 and 91.4 ± 3.2
for protease and deubiquitinase, respectively), that were analogous to
the internal positive control GRL-0617 (96.9 ± 1.6µM and 88.4 ± 4.9µM;
Table 1
). However, the IC50 values were calculated to be 45.8 ± 7.2µM and 20.3 ±
8.3µM for the PLpro protease and
deubiquitinase inhibition activities of hypericin, highlighting
decreased potency compared to GRL-0617 (1.6µM and 1.7µM; Table 1). Typical plasma
concentrations of hypericin range from 36 – 180 nM following
consumption of LI 160 hypericum extracts containing 1.09 – 4.36 mg
hypericin [46].
Standard over the counter formulations of St John’s wort contain
approximately 1 mg of hypericin. It is noteworthy that it has been
used in a variety of human clinical trials, including in the context
of premenstrual syndrome, nonmelanoma skin cancer, and hepatitis C
virus infection [47], [48], [49]. Furthermore, concentration-dependent
uptake of hypericin has been observed in Caco-2 cell assays
[50].
Nevertheless, the inhibition activities are within biologically
relevant ranges and the findings are encouraging.
Figure 6
Inhibition of the SARS-CoV-2 PL The
protease and deubiquitinase inhibition activities of hypericin were
determined using commercial PLpro assay kits,
consisting of a proprietary fluorogenic substrate at an emission
wavelength of 460nm (BPS Bioscience, San Diego, CA, USA). Hypericin (0.2
µM to 200 µM concentration range was investigated), resulted in a
concentration-dependent inhibition of both protease (A), and
deubiquitinase (B) activities. Average values ± SEM from triplicate
determinations are shown. The average background (n=6), total PLpro protease and deubiquitinase activities (n=9),
and inhibition by the positive control GRL-0617 at 100µM (n=9), are
highlighted (horizontal dotted lines).
Table 1
Inhibition of PL
Percentage inhibition at a ligand concentration of 100µM and IC50 values from in vitro
fluorogenic PLpro protease and deubiquitinase
assays.
Protease Activity
Deubiquitinase activity
IC50*
% Inhibition (100µM)
IC50*
% Inhibition (100µM)
GRL-0617
1.6
96.9 ±
1.6
1.7
88.4 ±
4.9
Hypericin
45.8 ±
7.2
97.9 ±
1.8
20.3 ±
8.3
91.4 ±
3.2
IC50 values
for GRL0617 according to assay manufacturer (BPS Bioscience, San Diego,
CA, USA). Experimental average ± SEM indicated for hypericin (IC50), and % inhibition at 100µM ligand
concentration for GRL-0617 and hypericin.
Inhibition of the SARS-CoV-2 PL The
protease and deubiquitinase inhibition activities of hypericin were
determined using commercial PLpro assay kits,
consisting of a proprietary fluorogenic substrate at an emission
wavelength of 460nm (BPS Bioscience, San Diego, CA, USA). Hypericin (0.2
µM to 200 µM concentration range was investigated), resulted in a
concentration-dependent inhibition of both protease (A), and
deubiquitinase (B) activities. Average values ± SEM from triplicate
determinations are shown. The average background (n=6), total PLpro protease and deubiquitinase activities (n=9),
and inhibition by the positive control GRL-0617 at 100µM (n=9), are
highlighted (horizontal dotted lines).Inhibition of PL
Percentage inhibition at a ligand concentration of 100µM and IC50 values from in vitro
fluorogenic PLpro protease and deubiquitinase
assays.IC50 values
for GRL0617 according to assay manufacturer (BPS Bioscience, San Diego,
CA, USA). Experimental average ± SEM indicated for hypericin (IC50), and % inhibition at 100µM ligand
concentration for GRL-0617 and hypericin.
Conclusion
Overall, microsecond molecular dynamics
simulations highlight the stability of GRL-0617 and hypericin in the
naphthalene binding pocket of the SARS-CoV-2 PLpro. Similarly, PELE Monte Carlo simulations indicate
favourable energies associated with interactions of the small molecules
in the naphthalene binding site. Finally, enzymatic assays in
vitro confirm the potency with respect to inhibition of
PLpro protease and deubiquitinase
activities of the well-known inhibitor GRL-0617. In comparison, although
not as potent, hypericin also inhibits PLpro
protease and deubiquitinase activities with IC50 values in the biologically relevant micromolar range.
When considering potential clinical utility, the long history of use of
hypericin in supplementations and the conditional Food and Drug
Administration (FDA) approval of a synthetic version (designated SGX
301), are encouraging, and highlight the importance of further evaluation
in appropriate antiviral models.Author contributions statementTCK, AH, and VG conceptualized the aims and
methodology, were involved in supervision, and production of the first
draft of the manuscript. VG performed data analysis and curated data. KV
performed and analysed the in vitro protease
inhibition assay. JJL and EP were involved in data analysis and curation,
and in production of the first draft of the manuscript. All authors
contributed to editing and reviewing the manuscript.Conflict of interestEpigenomic Medicine Program (TCK) is
supported financially by McCord Research (Iowa, USA), which may have a
financial interest in dietary compounds described in this work. However,
there is no conflict of interest with respect to the inhibition of the
SARS-CoV-2 papain-like protease. The remaining co-authors also have no
conflicts of interest.
Declaration of Competing
Interest
The authors declare that they have no known
competing financial interests or personal relationships that could have
appeared to influence the work reported in this paper.
Authors: Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz Journal: J Med Chem Date: 2006-10-19 Impact factor: 7.446
Authors: Kiira Ratia; Scott Pegan; Jun Takayama; Katrina Sleeman; Melissa Coughlin; Surendranath Baliji; Rima Chaudhuri; Wentao Fu; Bellur S Prabhakar; Michael E Johnson; Susan C Baker; Arun K Ghosh; Andrew D Mesecar Journal: Proc Natl Acad Sci U S A Date: 2008-10-13 Impact factor: 11.205
Authors: Eleni Pitsillou; Julia Liang; Katherine Ververis; Kah Wai Lim; Andrew Hung; Tom C Karagiannis Journal: Front Chem Date: 2020-12-08 Impact factor: 5.221
Authors: Vicente Soriano; Carmen de-Mendoza; Benson Edagwa; Ana Treviño; Pablo Barreiro; José V Fernandez-Montero; Howard E Gendelman Journal: AIDS Rev Date: 2022-03-01 Impact factor: 2.381