Jingshan Ren1, Yuguang Zhao1, Elizabeth E Fry1, David I Stuart1,2. 1. Division of Structural Biology, University of Oxford , The Henry Wellcome Building for Genomic Medicine, Headington, Oxford, OX3 7BN, U.K. 2. Diamond Light Source Ltd. , Harwell Science & Innovation Campus, Didcot, OX11 0DE, U.K.
Abstract
Here, we show that four chemically divergent approved drugs reported to inhibit Ebolavirus infection, benztropine, bepridil, paroxetine and sertraline, directly interact with the Ebolavirus glycoprotein. Binding of these drugs destabilizes the protein, suggesting that this may be the mechanism of inhibition, as reported for the anticancer drug toremifene and the painkiller ibuprofen, which bind in the same large cavity on the glycoprotein. Crystal structures show that the position of binding and the mode of interaction within the pocket vary significantly between these compounds. The binding constants (Kd) determined by thermal shift assay correlate with the protein-inhibitor interactions as well as with the antiviral activities determined by virus cell entry assays, supporting the hypothesis that these drugs inhibit viral entry by binding the glycoprotein and destabilizing the prefusion conformation. Details of the protein-inhibitor interactions of these complexes and their relation with binding affinity may facilitate the design of more potent inhibitors.
Here, we show that four chemically divergent approved drugs reported to inhibit Ebolavirus infection, benztropine, bepridil, paroxetine and sertraline, directly interact with the Ebolavirus glycoprotein. Binding of these drugs destabilizes the protein, suggesting that this may be the mechanism of inhibition, as reported for the anticancer drug toremifene and the painkiller ibuprofen, which bind in the same large cavity on the glycoprotein. Crystal structures show that the position of binding and the mode of interaction within the pocket vary significantly between these compounds. The binding constants (Kd) determined by thermal shift assay correlate with the protein-inhibitor interactions as well as with the antiviral activities determined by virus cell entry assays, supporting the hypothesis that these drugs inhibit viral entry by binding the glycoprotein and destabilizing the prefusion conformation. Details of the protein-inhibitor interactions of these complexes and their relation with binding affinity may facilitate the design of more potent inhibitors.
Ebolavirus (EBOV) and
Marburgvirus (MARV) belong to the family Filoviridae and cause severe, often fatal, diseases. There
are currently no vaccines or drugs available to combat the diseases.
The family Filoviridae comprises currently seven
species in three genera (Cuevavirus, Ebolavirus, and Marburgvirus).[1] Most of these viruses infect humans to cause severe hemorrhagic
fever with a high fatality rate.[2] The cost
of the 2013–2016 outbreak of Ebolavirus in West Africa, to
both human life and the economy, was unprecedented.[3] Filoviruses are single-stranded negative-sense RNA viruses
with a membrane envelope decorated by trimers of a glycoprotein (GP,
cleaved by furin to form GP1 and GP2 subunits), which is solely responsible
for host cell attachment, endosome entry, and membrane fusion.[4−8] GP1 is responsible for binding to the receptor NPC1, and GP2 is
a class I viral fusion protein catalyzing fusion of the viral and
host membrane. The structures of Ebolavirus GP and its complexes with
Fabs and receptor NPC1 have been previously described.[9−11] In the prefusion state three copies of GP (each composed of GP1
and GP2 subunits) form the biological trimer with the receptor-binding
site of GP1 being protected by a glycan cap (Figure ). In the late endosome/lysosome the glycan
cap is removed by cathepsin B/L to allow binding of the receptor,
which subsequently triggers the uncoupling of GP2 from GP1 and leads
to membrane fusion driven by large conformational changes, which ultimately
lead to the radically different postfusion state.[10,12] In the apo prefusion structure of EBOV GP, each subunit harbors
a tunnel, and the three tunnels of the trimer join at the three-fold
axis. The tunnel entrance is capped by a tight turn called the DFF
lid.[13]
Figure 1
Overall structure of EBOV GP and electron
density maps. (A) Surface
representation of the EBOV GP trimer; GP1 is in blue, GP2 in red,
and the glycan cap in cyan. The bound bepridil at the entrance of
a tunnel is shown as magenta sticks. (B) Close-up of the tunnel entrance
with bound bepridil. (C) Slice of EBOV GP trimer perpendicular to
the three-fold of the trimer as viewed toward the viral membrane showing
the three tunnels, each from a monomer, connected at the three-fold;
bepridils at the channel entrances are in magenta sticks. (D–G)
Simulated annealing |Fo – Fc| omit electron density maps for benztropine
(D), bepridil (E), paroxetine (F), and sertraline (G) contoured at
3.5σ; the orange density in (D) is contoured at 6σ showing
that one benztropine molecule is less well ordered.
Overall structure of EBOV GP and electron
density maps. (A) Surface
representation of the EBOV GP trimer; GP1 is in blue, GP2 in red,
and the glycan cap in cyan. The bound bepridil at the entrance of
a tunnel is shown as magenta sticks. (B) Close-up of the tunnel entrance
with bound bepridil. (C) Slice of EBOV GP trimer perpendicular to
the three-fold of the trimer as viewed toward the viral membrane showing
the three tunnels, each from a monomer, connected at the three-fold;
bepridils at the channel entrances are in magenta sticks. (D–G)
Simulated annealing |Fo – Fc| omit electron density maps for benztropine
(D), bepridil (E), paroxetine (F), and sertraline (G) contoured at
3.5σ; the orange density in (D) is contoured at 6σ showing
that one benztropine molecule is less well ordered.A surprisingly large number of Food and Drug Administration
(FDA)
approved drugs have been found to be active against Ebolavirus infection
using either infectious Ebolavirus replication or pseudovirus entry
assays.[14−20] These drugs have various primary pharmacological targets and huge
chemical diversity, and the mechanism of EBOV inhibition is largely
unknown. Furthermore, given their weak inhibitory properties, these
drugs may not be adequate to curtail EBOV infection. We have shown
in previous studies that the anticancer drug toremifene and the painkiller
ibuprofen both bind at the entrance of the tunnel of the EBOV GP pushing
aside the DFF lid, and that inhibitor binding decreases the thermal
stability of the GP.[13] Here, we show, by
crystallography, that another four FDA approved drugs that inhibit
EBOV infection directly bind in the same cavity on the EBOV GP as
toremifene. We also show, using thermal shift assay, that they decrease
the thermal stability of the protein. Each of the drugs, due to their
divergent chemical structures, exploits a different portion of the
spatial volume of the cavity and makes distinct protein interactions.
Structural analysis of these GP–drug complexes underlines key
volumes of the binding cavity and protein–inhibitor interactions,
which can help guide the design of more potent inhibitors.
Results
and Discussion
Identification of Drugs That Interact Directly
with EBOV GP
Eight previously reported FDA approved drugs
that inhibit EBOV
entry were evaluated to determine if they directly interact with EBOV
GP using thermal shift assays. The experiment was carried out at pH
5.2, which is close to the physiological pH of the late endosomal
where the fusion takes place and also the pH at which the EBOV GP
crystals were grown. The results show that four of these, the anticholinergic/antihistamine
agent benztropine,[15,16,21,22] antianginal bepridil,[15,16] and antidepressants paroxetine[15,23] and sertraline[15,16] decrease the melting temperature (Tm) of EBOV GP by up to 6, 6, 4, and 3 °C, respectively, at 500
μM concentration (Figures and 3; Figure S1 in Supporting Information). Other drugs[15] tested, aripiprazole, astemizole, efavirenz
and quinacrine, showed either marginal or no effect on the thermal
stability of EBOV GP, suggesting weak or no direct binding. The binding
constants, Kds, derived from the thermal-shift
assay are 1.3 mM for benztropine, 0.29 mM for bepridil, 0.65 mM for
paroxetine, and 0.95 mM for sertraline. Note that this assumes a 1:1
binding model; however, as described below, two molecules of benztropine
bind to each binding pocket so the calculation may underestimate the
strength of attachment (for instance, in the case of ordered binding).
Compared with toremifene (ΔTm =
15 °C, Kd = 16 μM), the four
inhibitors identified here in general are weaker binders and show
correspondingly weaker thermal shifts and Kds (Table ). The reported
IC50 is 3 μM for sertraline compared to 5 μM
for bepridil in Vero cells; however, bepridil provided better protection
than sertraline in a mouse model.[15] As
negative controls we also performed the thermal shift analysis using
two further inhibitors, strophanthin and U18666A. Strophanthin inhibits
EBOV infection but is not an EBOV entry inhibitor,[15] while U1866A inhibits viral entry by interacting with the
receptor NPC1.[24] As expected neither strophanthin
nor U1866A alter the melting temperature of EBOV GP (Figure S1).
Summary of thermal shift assay. Shifts in melting temperature (ΔTm (°C) in absolute value) plotted against
concentrations of benztropine (A), bepridil (B), paroxetine (C), and
sertraline (D) at pH 5.2. Data are mean ± SD (n = 3). The dotted line in each panel indicates ΔTm at 0.5 mM of the drug. The affinity constant Kd is calculated by a ligand binding 1:1 saturation,
fitted with the SigmaPlot version 13 (Systat Software Inc.). The raw
data are shown in Figure S2.
Table 1
Binding Affinity (Kd), Protein Stability Change (ΔTm), and Half-Maximum Inhibitory Concentration (IC50)
IC50 (μM)b
inhibitor
Kd (μM)
ΔTm (°C)a
Vero E6
HepG2
toremifene
16
–15
0.162 (0.048)
0.026 (0.0013)
benztropine
1300
–6
8.07 (0)
2.82 (0.13)
bepridil
290
–6
5.08 (0.38)
3.21 (0.15)
paroxetine
650
–4
7.45 (0.41)
1.38 (0.076)
sertraline
950
–3
3.13 (0.24)
1.44 (0.057)
ΔTm is measured
at inhibitor concentration of 500 μM.
IC50 values and standard
deviations (in parentheses) are adapted from Johansen et al.[15]
Chemical structures. (A) Benztropine, (3-endo)-3-(diphenylmethoxy)-8-methyl-8-azabicyclo[3.2.1]octane.
(B) Bepridil, 1-[2-(N-benzylanilino)-1-(isobutoxymethyl)ethyl]pyrrolidine.
(C) Paroxetine, (3S,4R)-3-[(1,3-benzodioxol-5-yloxy)methyl]-4-(4-fluorophenyl)piperidine.
(D) Sertraline, (1S,4S)-4-(3,4-dichlorophenyl)-N-methyl-1,2,3,4-tetrahydro-1-naphthalenamine. (E) Toremifene,
2-[4-[(Z)-4-chloro-1,2-diphenylbut-1-enyl]phenoxy]-N,N-dimethylethanamine.Summary of thermal shift assay. Shifts in melting temperature (ΔTm (°C) in absolute value) plotted against
concentrations of benztropine (A), bepridil (B), paroxetine (C), and
sertraline (D) at pH 5.2. Data are mean ± SD (n = 3). The dotted line in each panel indicates ΔTm at 0.5 mM of the drug. The affinity constant Kd is calculated by a ligand binding 1:1 saturation,
fitted with the SigmaPlot version 13 (Systat Software Inc.). The raw
data are shown in Figure S2.ΔTm is measured
at inhibitor concentration of 500 μM.IC50 values and standard
deviations (in parentheses) are adapted from Johansen et al.[15]
Overall Structures
of EBOV GP–Drug Complexes
The four drugs were separately
prepared in crystallization liquor,
and crystals of EBOV GP were soaked in these solutions before collecting
X-ray diffraction data, which allowed structure determination, revealing
that all four compounds bind EBOV GP (Experimental
Section). X-ray data sets, all extending to 2.4 Å resolution
or better and measured with high redundancy (Table S1), were collected at the Diamond synchrotron. The overall
structures of the glycoprotein component of these four complexes are
very similar to each other with rmsds less than 0.6 Å for all
Cα atoms of the protein. Each bound drug has good
electron density allowing its conformation to be defined (Figure ). Significant conformational
differences are observed at residues 46–52 of GP1, and 521–525
and 577–583 of GP2 (Figure S2).
Residues 46–52 precede the disulfide bond (C53–C609)
between GP1 and GP2 and have two conformations in the GP–paroxetine
complex, one corresponding to that observed in apo GP, GP–toremifene,
and GP–bepridil, and the other to that seen in GP–ibuprofen,
GP–benztropine, and GP–sertraline. Residues 577–583
that link α3 and α4 move about 6 Å by rotation around
the three-fold axis of the GP trimer in the structure of GP–benztropine.
These two sets of structural changes do not appear to be related to
inhibitor binding. The third place where large conformational differences
are found is at the N-terminus of the fusion loop (residues 521–525),
which is flexible and makes direct interactions with some of the drugs,
such as toremifene.
Two Benztropine Molecules Bind within a Single
Cavity in EBOV
GP
The inhibitor-binding cavity, located between GP1 and
GP2, is surrounded by residues from the β1−β2 hairpin,
β3, β6, and β13 of GP1, and the stem of the fusion
loop (β19-β20) and α3 of GP2. Two benztropine molecules
(named A and B hereafter) bind in the cavity (Figures D and 4A). Benztropine
has three rings each connected to a carbon atom acting as a hub (Figure ). Molecule A has
well-defined electron density and binds with one phenyl ring nestling
in a subpocket adjacent to α3, delimited by side-chains of residues
I38 and I43 of the β1−β2 hairpin, L184 and L186
of β13, and L554 and L558 of α3, while the second phenyl
ring interacts with V66 of β3 and one edge of Y517 from β19
(Figures and 4; Figure S3). The center
of the molecule is sandwiched by L186 and M548, with all three rings
making contact with M548. The second phenyl ring and the azabicyclo
ring also make close contacts to both phenyl rings of the B molecule
of benztropine, which has weaker electron density (Figure d; Figure S3A). One phenyl ring of benztropine B makes T-shaped stacking
interactions with Y517 and extensive hydrophobic contacts with the
side-chain of R64 and A101 on the floor of the binding site. The second
phenyl ring points to the solvent and does not interact with any atom
of the protein. The azabicyclo ring of benztropine B is not clearly
defined in the electron density map (Figure D).
Figure 4
Inhibitor-binding site. (A–D) Details
of protein-inhibitor
interactions of the GP–benztropine (A), GP–bepridil
(B), GP–paroxetine (C), and GP–sertraline (D) complexes.
Benztropene, bepridil, paroxetine, and sertraline are shown as cyan,
magenta, gray, and orange sticks, respectively. Protein main-chains
are shown as ribbons and side-chains as sticks (GP1, blue; GP2, red).
Side-chains in the apo GP with significant conformation differences
are shown as thinner gray sticks. Residues that interact with the
drug (≤3.9 Å) in each panel are labeled. L68 and L515,
which also line the binding-site and interact with bepridil and paroxetine
(Figure S5), are not shown for clarity.
Inhibitor-binding site. (A–D) Details
of protein-inhibitor
interactions of the GP–benztropine (A), GP–bepridil
(B), GP–paroxetine (C), and GP–sertraline (D) complexes.
Benztropene, bepridil, paroxetine, and sertraline are shown as cyan,
magenta, gray, and orange sticks, respectively. Protein main-chains
are shown as ribbons and side-chains as sticks (GP1, blue; GP2, red).
Side-chains in the apo GP with significant conformation differences
are shown as thinner gray sticks. Residues that interact with the
drug (≤3.9 Å) in each panel are labeled. L68 and L515,
which also line the binding-site and interact with bepridil and paroxetine
(Figure S5), are not shown for clarity.
Interactions between EBOV
GP and Bepridil
Bepridil
is located in the binding cavity centered between L186 and Y517. Its
phenyl ring binds deep and is fully buried in a hydrophobic subpocket
interacting with the side-chains of V66, A101, L515, Y517, and L558.
The side-chain of V66 rotates 110° upon inhibitor binding. The
benzyl ring is flanked by R64 and T519 and also interacts with Y517
and A101. The isobutoxy group occupies the subpocket adjacent to α3,
interacting with L186, M548, and L558. The pyrrolidine ring is exposed,
and only makes contact with the hydroxyl group of Y517 (Figure B). Compared to GP–benztropine,
bepridil occupies the key volumes in the binding cavity filled by
the two benztropine molecules, the ethanamine moiety and the isobutoxy
group overlapping with the two phenyl rings of benztropine A, while
the benzyl and pyrrolidine rings partially overlap with the two phenyl
rings of benztropine B (Figure S5).
Paroxetine
Occupies Only Part of the Key Binding Volume
Paroxetine binds
with its benzodioxol group overlapping the position
of the phenyl ring of bepridil and makes interactions with not only
the side-chains of V66, A101, L515, Y517, and L558 but also the main-chains
of G67 and G102 and side-chain of L68. The side-chain of V66 adopts
the conformation seen in the bepridil bound structure, and M548 rotates
140° around the Cβ–Cγ bond to interact with the yloxymethyl group of paroxetine. The fluorophenyl
ring partially overlaps with the benzyl ring of bepridil, but is closer
to R64, interacting with the side-chains of R64, T519, A101, and E100.
There is an extra blob of electron density in front of M548, which
presumably belongs to an unidentified small molecule of either a less-ordered
paroxetine or a compound in the sample (purchased from Key Organics
with purity >97%) (Figure C; Figure S3B). This volume in
front of Y517 and M548 has a propensity to be occupied (including
in the previously determined GP–toremifene and GP–ibuprofen
structures[13]), presumably stabilizing the
hydrophobic residues around it. We name this the FF volume since in
apo GP it is filled by F193 and F194 of the DFF lid, and its importance
for inhibitor binding was suggested from the analysis of the GP–toremifene
complex where the chloroethyl group occupies part of the volume in
front of M548 and substitution by an ethyl group in tamoxifen or a
chlorine in clomiphene greatly reduces binding affinity.[13] Here, we observe that benztropine A occupies
only part of the volume in front of M548 and the second benztropine
is required to fill the space in front of Y517, while vice
versa, paroxetine binds in part of the volume in front of
Y517, with an unidentified small molecule filling the space in front
of M548 (Figures S3 and S5).
Interactions
between EBOV GP and Sertraline
In contrast
to benztropine and paroxetine, sertraline is bound largely in the
FF volume. Its dichlorophenyl ring is located at the subpocket adjacent
to the α3 helix, interacting with I38, L186, M548, and L558.
The position of the dichlorophenyl ring overlaps one of the phenyl
rings of benztropine A and the isobutoxy group of bepridil (Figure D; Figures S4 and S5). The tetrahydronaphthalene group binds
in space between R64 and Y517, making contacts with V66, A101, and
R64, and extensive T-shaped ring stacking interactions with Y517.
Sertraline is the smallest molecule among the four drugs reported
here, but it has better binding affinity and antiviral activity than
benztropine (Table ), suggesting that the volume it occupies in the binding cavity and
the interactions with the protein are pivotal for inhibitor binding.
None of the Drugs Fully Exploits the Potential Protein–Inhibitor
Interactions
The four drugs, despite their chemical diversity,
all bind within the same rather extensive cavity of Zaire EBOV GP,
which in the case of benztropine accommodates two molecules. Furthermore,
the amino acids lining the cavity are highly conserved among the five
known species of EBOVs, and so the compounds are likely to interact
with GPs of all EBOV species. However, none of the drugs fully exploit
the potential protein–inhibitor interactions within the binding
pocket. The observed protein–drug interactions are predominantly
hydrophobic with no hydrogen bond interactions. There is no significant
structural change in the cavity upon drug binding except for some
variations in side-chain conformation (Figure S5). Together with the two previously published structures, we have
so far determined GP complex structures with six FDA approved drugs.
The drug binding cavity has a volume of approximately 1000 Å3, while the molecular volumes of the six drugs ranges from
the smallest of 188 Å3 of ibuprofen to the largest
of 362 Å3 of toremifene (Figure ). The total volume of the cavity sampled
by the six drugs is 712 Å3 (excluding the less ordered
benztropine B), of which only 25 Å3 is common to all.
Bepridil and toremifene have the largest common volume of 234 Å3, while benztropine A and paroxetine, at 42 Å3, share the least. Of the six, toremifene remains the best inhibitor
in terms of binding affinity and antiviral activity. Its Kd is 18-fold better than bepridil and at least 40-fold
better than the other four (Table ). We compared the four new complexes with GP–toremifene
to explore the structure–activity relationship and potential
for improvement of the drugs (Figure ; Figure S6). Toremifene
binds with its alkenyl group centered in the FF volume, making extensive
interactions to Y517 from its three phenyl rings. This binding mode
is most similar to that of bepridil. Ring A of toremifene overlaps
with the phenyl ring and ring C with the benzyl ring of bepridil,
while ring B partially overlaps with the pyrrolidine ring of bepridil,
but makes more protein contacts. Benztropine and sertraline do not
occupy the subpocket where the A and B phenyl rings of toremifene
bind. The dimethylethanamine of toremifene, to which there is no corresponding
group in the other drugs, extends into the main tunnel and is surrounded
by polar/charged residues, including R64, E100, T519, T520, and D522.
However, there is scope of improvement of toremifene to bind more
tightly: (i) substitution of the chlorine by a six-membered ring to
explore the subpocket adjacent to α3 occupied by a phenyl ring
of benztropine A and the isobutoxy group of bepridil; (ii) modification
of the dimethylethanamine group to make hydrogen bond interactions
with nearby polar/charged residues.
Figure 5
Molecular volumes. (A) Volume of EBOV
GP drug-binding cavity exploited
by the six FDA approved drugs, toremifene (yellow), bepridil (magenta),
paroxetine (gray), sertraline (orange), ibuprofen (blue), and benztropine
(green). (B) Matrix showing the molecular volumes (gray) of the drugs
and common volumes (color coded by size from red to blue) shared by
any pair of the drugs. All volumes are in Å3.
Figure 6
Comparisons with GP–toremifene complex.
(A–D) Comparing
protein–inhibitor interactions of GP–toremifene with
GP–benztropine (A), GP–bepridil (B), GP–paroxetine
(C), and GP–sertraline (D). Benztropene, bepridil, paroxetine,
and sertraline are shown as cyan, magenta, gray, and orange sticks,
respectively, and their associated protein main-chains are shown as
ribbons and side-chains as sticks (GP1, blue; GP2, red). Toremifene
is drawn as yellow sticks, and side-chains in the GP–toremifene
complex with large conformational differences are shown as thinner
yellow sticks.
Molecular volumes. (A) Volume of EBOV
GP drug-binding cavity exploited
by the six FDA approved drugs, toremifene (yellow), bepridil (magenta),
paroxetine (gray), sertraline (orange), ibuprofen (blue), and benztropine
(green). (B) Matrix showing the molecular volumes (gray) of the drugs
and common volumes (color coded by size from red to blue) shared by
any pair of the drugs. All volumes are in Å3.Comparisons with GP–toremifene complex.
(A–D) Comparing
protein–inhibitor interactions of GP–toremifene with
GP–benztropine (A), GP–bepridil (B), GP–paroxetine
(C), and GP–sertraline (D). Benztropene, bepridil, paroxetine,
and sertraline are shown as cyan, magenta, gray, and orange sticks,
respectively, and their associated protein main-chains are shown as
ribbons and side-chains as sticks (GP1, blue; GP2, red). Toremifene
is drawn as yellow sticks, and side-chains in the GP–toremifene
complex with large conformational differences are shown as thinner
yellow sticks.
Do These Drugs Bind MARV
GP?
Toremifene, bepridil,
and sertraline have been found to inhibit MARV infection in
vitro,[15] and benztropine was able
to block pseudo-MARV entry.[21] However,
MARV GP has only ∼27% sequence identity to EBOV GP (Ravn virus,
which causes MARV disease, vs Zaire EBOV virus). The structure of
MARV GP in complex with a monoclonal antibody has been published;[25] however, there are no reports of complexes with
putative drugs. Superposition of the structures of MARV and EBOV GP
shows that there are significant structural differences at the inhibitor-binding
site (Figure ). The
EBOV DFF lid and preceding loop are replaced by a helix in MARV GP,
and 15 of the 19 residues that are involved in inhibitor interactions
are substituted; in particular, the replacements Ala to Glu at 101
and Val to Met at 66 make the binding cavity much shallower, and the
β1-β2 hairpin of MARV GP folds inward shortening the cavity,
while residues Y517 and M548, which make key interactions with inhibitors,
both become isoleucine.[25] Therefore, the
shape of the inhibitor-binding cavity in MARV GP is substantially
different to that of EBOV GP. Superimpositions of the GP–inhibitor
complexes onto the structure of MARV GP show the inhibitors make serious
steric clashes with MARV GP (Figure ). If these inhibitors are bound in the same site of
MARV, then either their binding modes will differ dramatically or
substantial structural changes are required. This observation, together
with the fact that two molecules of benztropine bind quite differently
in the same pocket, perhaps, illustrate the plasticity of binding
when affinity derives simply from hydrophobic interactions without
the orientational drivers of charge and hydrogen bond interactions.
Figure 7
Differences
between EBOV and MARV GPs at the inhibitor binding
site. Superpositions of the inhibitor binding sites of EBOV GP–benztropine
(A,B), GP–bepridil (C,D) and GP–sertraline (E,F) with
that of MARV GP. In (A), (C, ) and (E), EBOV GPs are shown as surface
representations, inhibitors as sticks, with MARV GP main-chain as
gray ribbon and side-chains as gray sticks with labels. In (B), (D),
and (F), MARV GP (excluding residues 172–180) is shown as a
surface representation, with the EBOV GP complexes shown as ribbons
and sticks and side-chains of EBOV GP labeled.
Differences
between EBOV and MARV GPs at the inhibitor binding
site. Superpositions of the inhibitor binding sites of EBOV GP–benztropine
(A,B), GP–bepridil (C,D) and GP–sertraline (E,F) with
that of MARV GP. In (A), (C, ) and (E), EBOV GPs are shown as surface
representations, inhibitors as sticks, with MARV GP main-chain as
gray ribbon and side-chains as gray sticks with labels. In (B), (D),
and (F), MARV GP (excluding residues 172–180) is shown as a
surface representation, with the EBOV GP complexes shown as ribbons
and sticks and side-chains of EBOV GP labeled.
Conclusions
Structures of two class 1 viral fusion
proteins in complexes with
small molecule inhibitors have been reported recently, the RSV fusion
protein (RSV F) and influenza virus hemagglutinin (HA).[26,27] Inhibitors of RSV F bind to a hydrophobic pocket adjacent to the
fusion peptide around the three-fold symmetry axis with a stoichiometry
of one inhibitor per RSV F trimer,[26] while
the inhibitor of flu-HA binds about 16 Å away from the fusion
peptide with a stoichiometry of three inhibitors per HA trimer.[27] For both of these inhibitors, binding stabilizes
the fusion proteins, which contrasts with the EBOV GP inhibitors reported
here that destabilize the protein by binding directly with the stem
of the fusion loop with a stoichiometry of three inhibitors per trimer.
Fusion proteins undergo huge structural rearrangement during fusion,
supposedly triggered by low pH and receptor binding in the endo/lysosome,
thus viral fusion can be inhibited by either stabilizing or destabilizing
the fusion protein by direct binding of small molecule inhibitors.
A large number of FDA approved drugs that inhibit EBOV entry have
been reported, and various mechanisms of action have been proposed.[28−32] We have now determined structures of EBOV GP in complexes with six
such drugs. These drugs have five different primary pharmacological
targets and contain both amphiphiles and cationic amphiphiles; nevertheless,
they all bind within the same cavity of EBOV GP. All act to destabilize
the GP as shown by thermal shift assay, and this correlates well with
their antiviral activity, indicating that these drugs inhibit EBOV
infection via the mechanism of action we proposed previously: inhibitor
binding destabilizes GP and triggers premature release of GP2, thereby
preventing fusion between the viral and endosome membranes.[13]
Experimental Section
Protein
Expression and Purification
The previously
described Zaire EBOV (strain Mayinga-76) recombinant glycoprotein
extracellular domain construct[13] with one
extra mutation H613A was cloned in the mammalian expression vector
pNeosec.[33] The resulting plasmid pNeosec-GPΔ
has the mucin domain deleted and is tagged with a foldon trimerization
sequence from the bacteriophage T4 fibritin and six histidines at
the C terminus. The endotoxin-free plasmid was transiently transfected
into the human embryonic kidney HEK293T (ATCC CRL11268) cells with
polyethylenmine (PEI, MW 25kd, Sigma, U.K.). For crystallization,
the mannosidase inhibitor kifunensine (Cayman Chemical, Michigan,
USA) was added to a final concentration of 5 μM. The conditioned
media was collected 5 days after transfection and dialyzed against
PBS. The His-tagged protein was captured with talon beads (Takara
Bio Europe SAS, France) at 15 °C for 1 h with gentle shaking
at 110 rpm. The beads were collected and washed in PBS with 5–10
mM imidazole. The protein was eluted with 200 mM imidazole in PBS
and further purified by size exclusion chromatography with a Superdex
200 HiLoad 16/600 column (GE healthcare, Buckinghamshire, U.K.) and
a buffer of 10 mM MES, pH 5.2, 150 mM NaCl.
Drugs Used in the Experiments
Toremifene (KS-5242),
paroxetine hydrochloride hemihydrate (KS-1094), sertraline hydrochloride
(KS-1111), aripiprazole (KS-1030), astemizole (KS-5171), efavirenz
(KS-5380), and quinacrine dihydrochloride (KH-0002), all with specified
purity of >97%, were purchased from Key Organics. Ibuprofen (Sigma-I4883),
benztropine mesylate (Sigma-SML0847), bepridil hydrochloride (Sigma-B5016),
strophanthin (Aldrich-S355445), and U18666A (Sigma-U3633), all with
specified purity of ≥98%, were purchased from Sigma-Aldrich.
Thermal Shift Assay
Twenty-five microliters of solution
containing 2 μM glycosylated EBOV GP protein, in a buffer of
25 mM sodium citrate at pH 5.2, 150 mM NaCl, and 6× SYPRO Orange
dye (Thermo Fisher Scientific, UK), was mixed with 25 μL of
compounds in 10% DMSO containing buffer. Each compound was initially
dissolved in 100% DMSO and then diluted with buffer and DMSO to the
desired concentration (except benztropine, which was mixed directly
in buffer without DMSO). Then the samples were placed in a semiskirted
96-well PCR plate (4 Titude, Surrey, U.K.), sealed, and heated in
an Mx3005p qPCR machine (Stratagene, Agilent Technologies, USA) from
room temperature at a rate of 1 °C min–1 for
74 cycles. Fluorescence changes were monitored with excitation and
emission wavelengths at 492 and 610 nm, respectively. Reference wells,
i.e., solutions without drugs, but with same amount of DMSO, were
used to compare the melting temperature (Tm). Experiments were carried out in triplicate.
Crystallization
and Inhibitor Soaking
The protein was
concentrated to 10–12 mg/mL. Crystallization was performed
in nanoliter sitting drops (100 nL protein and 100 nL reservoir) dispensed
from a Cartesian robot onto a 96-well Greiner plate.[34] The crystals were grown in condition containing 9% (w/v)
PEG 6000 and 0.1 M sodium citrate tribasic dihydrate at pH 5.2. We
found microcrystal seeding is an reliable way to obtain reasonable
sized crystals in most drops using a previously described method.[35]GP and inhibitor complexes were obtained
by crystal soaking experiments. The crystal soaking solutions were
prepared by first dissolving the inhibitors in 100% DMSO and then
diluting the dissolved inhibitors in 15% (w/v) PEG 6000 and 0.1 M
sodium citrate tribasic dihydrate (pH 5.0) to a final DMSO concentration
of 10% (except for benztropine, which did not require DMSO). The inhibitor
concentration was typically from 1 to 10 mM depending on solubility.
The crystals were soaked in the above solutions for different lengths
of time, ranging from 5 to 20 min. Crystals soaked with inhibitors
often resulted in weaker or no diffraction. To obtain the GP–inhibitor
complexes, we usually had to soak a number of crystals in several
concentrations of inhibitor for varying times.
X-ray Data Collection
The inhibitor-soaked crystals
were transferred to solutions containing 75% inhibitor soaking solution
and 25% (v/v) glycerol for a couple of seconds and then frozen in
liquid nitrogen prior to data collection. All data were collected
at 100 K with a frame size of 0.1° rotation using synchrotron
X-rays and PILATUS 6 M detectors at Diamond Light Source, U.K. GP–benztropine
and GP–sertraline data were acquired on beamline I02 with a
beam size of 100 × 20 μm and a wavelength of 0.9795 Å.
The shortest possible exposure time per frame was used.[36,37] Three hundred and sixty degrees of data of GP–benztropine
were collected from a single crystal with an exposure time of 0.04
s per frame and 40% beam transmission; 1410° of data were collected
from five crystals with an exposure time of 0.04 s per frame and 50%
beam transmission for GP–sertraline complex. GP–bepridil
and GP–paroxetine data, both using 720° of data from two
crystals, were collected on beamline I24 using an exposure time of
0.01 s per frame with a beam size of 50 × 50 μm2 and 30 to 50% beam transmission at wavelength of 0.9686 Å.
Data Processing, Structure Determination and Refinement
Diffraction images were indexed, integrated, and scaled with the
automated data processing program Xia2–3dii or Xia2-Dials.[38,39] The resolution of the diffraction data for these four complexes
ranges from 2.07 to 2.40 Å with high redundancy. Each structure
was initially phased with rigid-body refinement using the apo GP structure
(PDB ID 5JQ3) by omitting residues 190–195 of GP1 and water molecules.
The subsequent structure refinement used REFMAC5[40] or PHENIX,[41] and models were
rebuilt with COOT.[42] All four models were
refined to reasonable R-factors with good stereochemistry. Data collection
and structure refinement statistics are given in Table S1. Structural comparisons used SHP,[43] simulated annealing omit electron density maps were calculated
with CNS,[44] volumes of the drug-binding
cavity and drug molecules were calculated with VOLUMES (Robert Esnouf,
unpublished), and figures were prepared with PyMOL[45] and LigPlot.[46]
Authors: Peter B Madrid; Rekha G Panchal; Travis K Warren; Amy C Shurtleff; Aaron N Endsley; Carol E Green; Andrey Kolokoltsov; Robert Davey; Ian D Manger; Lynne Gilfillan; Sina Bavari; Mary J Tanga Journal: ACS Infect Dis Date: 2015-05-11 Impact factor: 5.084
Authors: Garib N Murshudov; Pavol Skubák; Andrey A Lebedev; Navraj S Pannu; Roberto A Steiner; Robert A Nicholls; Martyn D Winn; Fei Long; Alexei A Vagin Journal: Acta Crystallogr D Biol Crystallogr Date: 2011-03-18
Authors: Jan E Carette; Matthijs Raaben; Anthony C Wong; Andrew S Herbert; Gregor Obernosterer; Nirupama Mulherkar; Ana I Kuehne; Philip J Kranzusch; April M Griffin; Gordon Ruthel; Paola Dal Cin; John M Dye; Sean P Whelan; Kartik Chandran; Thijn R Brummelkamp Journal: Nature Date: 2011-08-24 Impact factor: 49.962
Authors: David G Waterman; Graeme Winter; Richard J Gildea; James M Parkhurst; Aaron S Brewster; Nicholas K Sauter; Gwyndaf Evans Journal: Acta Crystallogr D Struct Biol Date: 2016-03-30 Impact factor: 7.652
Authors: Robin L Owen; Neil Paterson; Danny Axford; Jun Aishima; Clemens Schulze-Briese; Jingshan Ren; Elizabeth E Fry; David I Stuart; Gwyndaf Evans Journal: Acta Crystallogr D Biol Crystallogr Date: 2014-04-26
Authors: Michael B Plewe; Nadezda V Sokolova; Vidyasagar Reddy Gantla; Eric R Brown; Shibani Naik; Alexandra Fetsko; Donald D Lorimer; David M Dranow; Hayden Smutney; Jameson Bullen; Rana Sidhu; Arshil Master; Junru Wang; E Adam Kallel; Lihong Zhang; Birte Kalveram; Alexander N Freiberg; Greg Henkel; Ken McCormack Journal: ACS Med Chem Lett Date: 2020-05-01 Impact factor: 4.345
Authors: Liam B King; Jacob C Milligan; Brandyn R West; Sharon L Schendel; Erica Ollmann Saphire Journal: Curr Opin Virol Date: 2019-03-15 Impact factor: 7.090
Authors: Antonia P Gunesch; Francisco J Zapatero-Belinchón; Lukas Pinkert; Eike Steinmann; Michael P Manns; Gisbert Schneider; Thomas Pietschmann; Mark Brönstrup; Thomas von Hahn Journal: Antimicrob Agents Chemother Date: 2020-07-22 Impact factor: 5.191
Authors: Lisa Evans DeWald; Julie Dyall; Jennifer M Sword; Lisa Torzewski; Huanying Zhou; Elena Postnikova; Erin Kollins; Isis Alexander; Robin Gross; Yu Cong; Dawn M Gerhardt; Reed F Johnson; Gene G Olinger; Michael R Holbrook; Lisa E Hensley; Peter B Jahrling Journal: J Infect Dis Date: 2018-11-22 Impact factor: 5.226
Authors: Robert H Bortz; Anthony C Wong; Michael G Grodus; Hannah S Recht; Marc C Pulanco; Gorka Lasso; Simon J Anthony; Eva Mittler; Rohit K Jangra; Kartik Chandran Journal: J Virol Date: 2020-08-31 Impact factor: 5.103
Authors: Julie Dyall; Elizabeth A Nelson; Lisa Evans DeWald; Rajarshi Guha; Brit J Hart; Huanying Zhou; Elena Postnikova; James Logue; Walter M Vargas; Robin Gross; Julia Michelotti; Nicole Deiuliis; Richard S Bennett; Ian Crozier; Michael R Holbrook; Patrick J Morris; Carleen Klumpp-Thomas; Crystal McKnight; Tim Mierzwa; Paul Shinn; Pamela J Glass; Lisa M Johansen; Peter B Jahrling; Lisa E Hensley; Gene G Olinger; Craig Thomas; Judith M White Journal: J Infect Dis Date: 2018-11-22 Impact factor: 5.226