Despite the considerable successes of highly active antiretroviral therapy (HAART) for the treatment of HIV/AIDS, cumulative drug toxicities and the development of multidrug-resistant virus necessitate the search for new classes of antiretroviral agents with novel modes of action. The HIV-1 capsid (CA) protein has been structurally and functionally characterized as a druggable target. We have recently designed a novel small molecule inhibitor I-XW-053 using the hybrid structure based method to block the interface between CA N-terminal domains (NTD-NTD interface) with micromolar affinity. In an effort to optimize and improve the efficacy of I-XW-053, we have developed the structure activity relationship of I-XW-053 compound series using ligand efficiency methods. Fifty-six analogues of I-XW-053 were designed that could be subclassified into four different core domains based on their ligand efficiency values computed as the ratio of binding efficiency (BEI) and surface efficiency (SEI) indices. Compound 34 belonging to subcore-3 showed an 11-fold improvement over I-XW-053 in blocking HIV-1 replication in primary human peripheral blood mononuclear cells (PBMCs). Surface plasmon resonance experiments confirmed the binding of compound 34 to purified HIV-1 CA protein. Molecular docking studies on compound 34 and I-XW-053 to HIV-1 CA protein suggested that they both bind to NTD-NTD interface region but with different binding modes, which was further validated using site-directed mutagenesis studies.
Despite the considerable successes of highly active antiretroviral therapy (HAART) for the treatment of HIV/AIDS, cumulative drug toxicities and the development of multidrug-resistant virus necessitate the search for new classes of antiretroviral agents with novel modes of action. The HIV-1 capsid (CA) protein has been structurally and functionally characterized as a druggable target. We have recently designed a novel small molecule inhibitor I-XW-053 using the hybrid structure based method to block the interface between CA N-terminal domains (NTD-NTD interface) with micromolar affinity. In an effort to optimize and improve the efficacy of I-XW-053, we have developed the structure activity relationship of I-XW-053 compound series using ligand efficiency methods. Fifty-six analogues of I-XW-053 were designed that could be subclassified into four different core domains based on their ligand efficiency values computed as the ratio of binding efficiency (BEI) and surface efficiency (SEI) indices. Compound 34 belonging to subcore-3 showed an 11-fold improvement over I-XW-053 in blocking HIV-1 replication in primary human peripheral blood mononuclear cells (PBMCs). Surface plasmon resonance experiments confirmed the binding of compound 34 to purified HIV-1 CA protein. Molecular docking studies on compound 34 and I-XW-053 to HIV-1 CA protein suggested that they both bind to NTD-NTD interface region but with different binding modes, which was further validated using site-directed mutagenesis studies.
Owing to its pivotal roles in HIV-1 replication
(structural and
regulatory), the capsid (CA) protein has gained attention as a promising
therapeutic target. Moreover, the seminal finding that retroviral
species-specific host cell restriction factors target the incoming
capsid core highlights the enormous therapeutic potential of targeting
the capsid protein.[1] The HIV-1 CA, which
is translated as the central region of the Gag polyprotein, has primary
functions in viral assembly and in packaging the cellular protein
prolyl isomerase, cyclophilin A (CypA).[2] After the capsid protein has been liberated by proteolytic processing,
it rearranges into the conical core structure that surrounds the viral
genome at the center of the mature virus.[3] The HIV-1 capsid shell is composed of approximately 250 CA hexamers
and 12 CA pentamers, comprising about 1500 monomeric CA proteins in
all. The multimers interact noncovalently to form the shell’s
curved surface. CA itself is composed of two domains: the N-terminal
domain (CANTD) and the C-terminal domain (CACTD). Several structures of CA protein constructs have been determined
including the NTD hexamer, the single CA protein, and the CANTD linked to MA, as well as several structures of a disulfide-linked
CA hexamer.[4] These structures reveal that
six NTDs form the rigid core of hexameric CA, and six CTDs form the
hexamer’s much more flexible outer ring, with dimeric interactions
between CTDs of neighboring hexamers holding the capsid together.[5] The structural arrangement in the disulfide-constrained
hexamer has been echoed in a recent cryo-electron microscopic study
of the mature capsid, with the NTD interface between the studies being
extremely similar.[6] In contrast, the CTD
interfaces displayed much more variation between the two studies indicating
an inherent flexibility in this region.The wealth of structural
information available on the HIV-1 CA
has prompted the search for small molecule inhibitors of this key
viral protein. Since the initial discovery of CAP-1 (N-(3-chloro-4-methylphenyl)-N′-[2-[([5-[(dimethylamino)-methyl]-2-furyl]-methyl)-sulfanyl]ethyl]urea),[7] several other small molecule inhibitors of the
assembly and functions of HIV-1 have been discovered including multiple
CAP-1 derivatives,[8] several benzodiazepine-
and benzimidazole-based inhibitors,[9,10] a number of
diverse chemical scaffolds that target the hydrophobic cavity of the
CTD of HIV-1 capsid,[11] and the potent compound
PF-3450074 (PF74).[12] Interestingly, the
binding site of PF74 partially overlaps with that of a capsid host
binding protein, cleavage and polyadenylation specific factor 6 (CPSF6),
which functions in pre-mRNA processing.[13] Moreover, a very recent study by Lamorte et al.[14] has identified an inhibitor class that binds to capsid
assemblies and artificially increases its stability. This mechanism
of inhibition is in contrast to other inhibitors of CA that primarily
function by destabilization. Taken together, these studies demonstrate
that the CA is an attractive therapeutic target and many of its intrinsic
properties can be modulated by small molecules to achieve an antiviral
effect.We have previously used a structure-based drug design
strategy
to utilize structural and biochemical information about the capsid
NTD to design inhibitors of the NTD–NTD interface that would
interfere with HIV-1 replication at an early, preintegration stage.
This effort yielded compound I-XW-053 (1), which was
found to be specific for HIV-1, to have a large therapeutic spectrum,
and to bind to HIV-1 CA with micromolar affinity.[15]Despite its high micromolar activity against HIV-1,
the novel chemotype
and binding site on HIV-1 CA, coupled with its broad-spectrum anti-HIV
activity, suggests that compound 1 would serve as a good
starting point for the development of high-efficacy analogues through
chemical optimization. Therefore, in this study we performed a first-stage
structure–activity analysis in order to improve the efficacy
of this compound while determining groups critical for its anti-HIV
activity. This endeavor yielded the identification of compound 34 (5-iodo-2-(3-nitrophenyl)-1H-phenanthro[9,10-d]imidazole),
which represents an 11-fold improvement in antiviral potency over
the parental I-XW-053 compound.
Results and Discussion
Biological
Evaluation of Compound 1 Analogues
We have previously
described compound 1 as a novel
antiviral that targets a unique site on the HIV-1 CA protein and inhibits
by affecting virus uncoating. However, compound 1 inhibits
the replication of HIV-1 in the high micromolar range. Therefore,
we sought to improve upon this potency while still retaining the novel
qualities of this compound. Screening for analogues of compound 1 in commercial vendor chemical libraries resulted in the
identification of 56 hit molecules with a unique set of functional
groups attached to the core imidazole structure (Table 1). These compounds were purchased for biological testing in
a PBMC-based HIV-1 replication assay as previously described.[15] We chose to evaluate the compounds against HIV-189BZ197[16] as this isolate in our
hands is one of the most refractory to inhibition using Gag-targeting
small molecules.[15,17] Compound toxicity against the
peripheral blood mononuclear cells (PBMCs) was assessed in parallel
using an MTS assay as previously described and was used to determine
the therapeutic index (TI value; CC50/IC50)
of the test molecules.[15] The results from
this analysis are shown in Table 1.
Table 1
Antiviral Activity and SAR of Compound 1 and its Analogues against HIV-189BZ167 Replication
in PBMCsa
NA = not applicable. Toxicity was
tested up to a maximum concentration of 100 μM.
NA = not applicable. Toxicity was
tested up to a maximum concentration of 100 μM.The focused library of compound 1 analogues all share
an imidazole core structure. However, they could be further subclassified
into four categories: Core-1 triphenyl imidazole core (containing
31 molecules), Core-2 an imidazol-2(3H)-ylidene core
with six compounds, Core-3 tetrahydro phenanthro imidazole with 16
compounds, and Core-4 phenanthro[9,10-d]imidazol-2(3H,4H,7H)-ylidene containing
three molecules that had a combination of the second and third core
groups. In the triphenyl imidazole core containing molecules, chemical
modifications at either the ortho, para, or meta positions on any
of the three phenyl rings lead to only a modest increase in potency.
These compounds also had low TI values indicating that the increase
in efficacy could be attributed to a concomitant increase in the toxicity
of the compounds. Among the imidazol-2(3H)-ylidene
core compounds, a clear SAR was observed with halogen modifications
to the basal phenyl groups at the para positions leading to a 2-fold
increase in potency and a >3 TI value (compound 3).
Similarly,
an ester group at the ortho position on one of the basal phenyl group
lead to a 3-fold increase in potency and >3 TI value (compound 14). However, addition of large aryl or heteroaryl groups
lead to no significant change in efficacy or toxicity (compound 42) and a loss of efficacy (compound 52). Compound 49 containing a nitro substitution on one of the basal phenyl
groups had a minor effect on both efficacy and toxicity. Among the
tetrahydro phenanthrolines, halogen, nitro, or thiomethyl modifications
at the para position of the apical phenyl ring lead to an increase
in potency with low toxicity values leading to an improvement in the
TI value. In addition, the efficacy of these compounds was further
improved with a halogen modification at the para position on the phenanthroline
group. The nitro substitution at the para or meta position lead to
a marked increase in efficacy and low toxicity as in compounds 29, 31, 33, 37, and 34. Compound 30 with the thiomethyl modification
had the best efficacy but with a TI value of 3.4 indicating an increase
in toxicity too. However, compound 34 demonstrated an
IC50 value of 14.2 ± 1.7 μM and no toxicity
up to the highest test concentration of 100 μM (Figure 1). While compound 29 had similar efficacy
as compound 34, it exhibited 46.3% toxicity in cells
at 100 μM. The last group that had a phenanthro[9,10-d]imidazol-2(3H,4H,7H)-ylidene core structure did not show any gain in potency
or TI value. The identification of compound 34 represents
an 11-fold improvement in potency over the parental compound 1 (I-XW-053).
Figure 1
Effect of compound 34 on the replication
of HIV-189BZ167 and the viability of primary human PBMCs.
Black squares
show the effect of compound 34 on the infection of primary
human PBMCs by the clade B primary isolate HIV-189BZ167. Virus infection is expressed as the percentage of infection (measured
by reverse transcriptase activity) observed in the presence of compound
relative to the level of infection observed in the absence of the
compound. The data from three replicates are shown. Red circles show
the effect of the compound on the viability of the PBMCs and demonstrate
that compound 34 is not toxic up to the highest concentration
tested (100 μM). The IC50 value for compound 34 against HIV-189BZ167 = 14.2 ± 1.7 μM.
Effect of compound 34 on the replication
of HIV-189BZ167 and the viability of primary human PBMCs.
Black squares
show the effect of compound 34 on the infection of primary
human PBMCs by the clade B primary isolate HIV-189BZ167. Virus infection is expressed as the percentage of infection (measured
by reverse transcriptase activity) observed in the presence of compound
relative to the level of infection observed in the absence of the
compound. The data from three replicates are shown. Red circles show
the effect of the compound on the viability of the PBMCs and demonstrate
that compound 34 is not toxic up to the highest concentration
tested (100 μM). The IC50 value for compound 34 against HIV-189BZ167 = 14.2 ± 1.7 μM.
Direct Interaction of Compound 34 with HIV-1NL4-3 CA
Given the
favorable properties of
compound 34, we next sought to demonstrate its interaction
with HIV-1 CA. We therefore employed surface plasmon resonance (SPR)
analysis. HIV-1NL4-3 CA protein was purified as
previously described[15] and attached to
the surface of a high density GLH sensor chip (Bio-Rad Laboratories,
Hercules, CA) using standard amine coupling. A reference surface was
created in a similar fashion using an irrelevant protein. Compound
dilutions were injected simultaneously over both these surfaces and
the responses recorded. Figure 2 shows the
resulting sensorgrams. The compound 34–CA interaction
follows a similar kinetic profile as the parental compound 1 with rapid association and rapid dissociation rates. However, unlike
the parental compound, 34 appears to interact with CA
with a 1:1 stoichiometry. The equilibrium dissociation constant for
the compound 34–CA interaction is approximately
5- to 6-fold stronger than the compound 1–CA interaction.
Moreover, there is remarkable agreement between the IC50 values and the KD values for compound 34.
Figure 2
Sensorgrams depicting the interaction of compound 34 with sensorchip-immobilized HIV-1NL4-3 CA. Compound 34 at concentrations in the range 18.75–300 μM
are shown. Colored lines indicate experimental data, whereas black
lines indicate fitting to a simple 1:1 binding model. The individual
rate constants were marginally out of the dynamic range of the instrument
and are therefore not reported. The equilibrium dissociation rate
constant (KD) for this interaction was determined to be
11.8 ± 4.7 μM.
Sensorgrams depicting the interaction of compound 34 with sensorchip-immobilized HIV-1NL4-3 CA. Compound 34 at concentrations in the range 18.75–300 μM
are shown. Colored lines indicate experimental data, whereas black
lines indicate fitting to a simple 1:1 binding model. The individual
rate constants were marginally out of the dynamic range of the instrument
and are therefore not reported. The equilibrium dissociation rate
constant (KD) for this interaction was determined to be
11.8 ± 4.7 μM.
Structure–Activity Relationships
Having demonstrated
potency and maintenance of target specificity for compound 34, we next sought to extract structure–activity relationships
(SAR) from our total data. To derive the SAR of these molecules, we
calculated two ligand efficiency indices, namely binding efficiency
index (BEI) and surface efficiency index (SEI),[18] using the experimentally derived IC50 values
and other molecular descriptors such as molecular weight (MW), p(IC50) which is computed as −log10(IC50) and polar surface area (PSA) (Table 1).
BEI is defined as the ratio of p(IC50) to MW per kilodalton
and SEI as the ratio of p(IC50) to PSA per 100 Å2. Since non-hydrogen atoms play a major role in both hydrophobic
and hydrophilic interactions, their contributions to ligand efficiency
can be measured directly in terms of the MW and the PSA of the compound.
Hence the parameters BEI, which correlates binding efficiency with
MW, and SEI, which correlates binding efficiency with PSA, have been
hypothesized to be important measures of indices for deriving SAR
of compounds.However, in our study on determining the SAR of
the compounds, the BEI and the SEI values by themselves were not very
confirmatory. In contrast, a ratio of BEI to SEI when plotted against
TI values (Figure 3) shows a clear demarcation
when a cutoff value of 1 and 3 for the BEI to SEI ratio and TI values
respectively are chosen. These cutoff values were chosen based on
a hypothetical molecule that has an IC50 value of 20 μM,
molecular weight of 500 Da, and a PSA of 50, which resulted in a BEI
to SEI ratio of 3.39. A 3-fold difference between effective versus
toxic dose is a pharmacologically relevant TI value. Based on these
cutoff values, seven molecules were chosen that included two molecules
from core-2 (compounds 3 and 14) and five
from core-3 (compounds 29, 30, 33, 34, 45). None of the molecules from core-1
or 4 were chosen under this stringent criteria suggesting that BEI,
SEI, and TI can be used in this combination to derive lead compounds
from a data set that seems to have a bottomless SAR. Additionally,
combining core-2 and 3 did not improve the druggability of the molecules.
Based on the features described in Figure 3, compounds 29 and 34 were chosen as lead
compounds with compound 34 as a representative member
of the core. Molecular docking studies suggested that compounds 34 and 29 bind in a similar mode with conserved
interactions at the same preferred binding site as the parent compound 1(14) but with a slightly modified
binding mode (Figure 4). This binding mode
suggests that compounds 29 and 34 have interactions
with the binding pocket residues that include strong electrostatic
interactions such as arene-cation interactions with Gln179, Lys170,
Arg173, Asp166 and other residues such as Tyr169, Glu35, Ser178, and
Ser41. In addition, the pocket is lined by hydrophobic residues such
as Ala174, Leu172, Val165, Pro34, and Pro147 that are predicted to
contribute favorably to the binding of these compounds. These putative
binding pocket residues are located in the regions that are important
for CA NTD–NTD interaction or NTD–CTD interaction.[5,19] Extensive mutagenesis of the NTD domain has been performed previous
to this study. A recent study by Manocheewa et al.[19a] has also confirmed the sensitivity of the NTD–NTD
interface to substitutions. Mutations in this area of the capsid fall
broadly into two categories: (1) those that destabilized the capsid
assembly and (2) those that stabilized the structure of the CA hexamer.
Both of these categories have adverse effects on viral replication.[20] Several of the above-mentioned residues that
may constitute the binding site for compound 34 have
been previously mutated and their effect on viral replication ascertained.[15,20−25] Many of the residues that participate in the NTD–NTD interface
when mutated have adverse effect on HIV-1 and therefore could potentially
constitute a novel site of vulnerability for small molecule targeting
and disruption of CA protein function.
Figure 3
Scatter plot of the numerical
values of ratio of BEI to SEI against
TI values for all the compounds is shown with color coding for the
various core structures. Compounds with best TI values correlating
with higher BEI to SEI ratio cluster together and are represented
inside an orange rectangle.
Figure 4
Schematic representation of the binding
mode of compounds 34 (A) and 29 (B) are
shown. The binding site
residues are colored by their nature, with hydrophobic residues in
green, polar residues in purple, and charged residues highlighted
with bold contours. Blue spheres and contours indicate matching regions
between ligand and receptors. Hydrogen bonded interactions are shown
by green arrows, ionic interactions in magenta lines, and arene–H
interactions in green lines extending across the aryl rings. The figures
were generated using the LIGX module of MOE program.
Scatter plot of the numerical
values of ratio of BEI to SEI against
TI values for all the compounds is shown with color coding for the
various core structures. Compounds with best TI values correlating
with higher BEI to SEI ratio cluster together and are represented
inside an orange rectangle.Schematic representation of the binding
mode of compounds 34 (A) and 29 (B) are
shown. The binding site
residues are colored by their nature, with hydrophobic residues in
green, polar residues in purple, and charged residues highlighted
with bold contours. Blue spheres and contours indicate matching regions
between ligand and receptors. Hydrogen bonded interactions are shown
by green arrows, ionic interactions in magenta lines, and arene–H
interactions in green lines extending across the aryl rings. The figures
were generated using the LIGX module of MOE program.Using a combination of alanine mutagenesis and
SPR, we sought to
investigate this proposed binding mode. Eight mutant CA proteins containing
Ile37Ala, Lys170Ala, Glu180Ala, Asn139Ala, Gln179Ala, Ser41Ala, Pro38Ala,
and Arg173Ala, as well as the wild-type HIV-1NL4-3 CA protein were immobilized on a sensor chip and exposed to a single
concentration of compound 34. The results of this analysis
are shown in Figure 5 and suggest that residues
Lys170, Ser41, and Gln179 when mutated to alanine lead to loss of
favorable interactions with compound 34. However, residues
Arg173 and Pro38 when mutated to alanine appeared to increase the
interaction of compound 34 with HIV-1 CA. From the docking
model this increase may be due to a strengthening of arene-H interactions
with the ligand. Residues Ile37, Glu180, and Asn139 when mutated to
alanine did not produce any significant change in binding capacity
when compared to wild-type, suggesting these interactions could be
compensated by other residues in the binding pocket.
Figure 5
Effect of mutation of
capsid residues in and around the proposed
compound 34 binding site on compound binding. The interaction
of compound 34 at a concentration of 50 μM with
wild-type and mutant versions of the CA protein was assessed using
SPR. To allow comparison, responses at equilibrium were normalized
to the theoretical Rmax, assuming a 1:1
interaction.
Effect of mutation of
capsid residues in and around the proposed
compound 34 binding site on compound binding. The interaction
of compound 34 at a concentration of 50 μM with
wild-type and mutant versions of the CA protein was assessed using
SPR. To allow comparison, responses at equilibrium were normalized
to the theoretical Rmax, assuming a 1:1
interaction.The residues Lys170 and
Ser41, which altered compound 34 interactions when mutated,
have been studied previously.[20−24a] Mutation of Lys170Ala was shown by Chang et al. to have no effect
on the production of virus-like particles or on the in vitro assembly
of the purified protein.[20] Mutation of
Ser41Ala by Cartier et al. also had no effect on HIV-1 viral particle
production and release.[25] Similarly, mutation
of Gln179 to alanine had no effect on viral replication kinetics.[26] Taken together, this indicates that the reduction
in binding of compound 34 to these mutations is not due
to an overall gross perturbation of the native wild-type structure
of the CA protein but most likely reflects disruption of individual
contacts.The mutation data also correlates with the difference
in binding
mode observed between the parent compound 1 and compounds 29 and 34. Mutation of residues Ile37, Asn139,
and Arg173 abrogated the binding of compound 1 but had
no effect on compound 34, while Lys170 had a major effect
on compound 34 but not compound 1. However,
unlike both compound 1 and CK026 (compound 1’s parent),[15] whose modeling suggested
the possibility of two potential binding sites, both compounds 29 and 34 had a strong preference for one of
these binding sites.[14] These “binding
site preferences” suggested from the modeling studies are reflected
in different stoichiometric binding ratios for compound 1 and compound 34 demonstrated using SPR and ITC.In conclusion, we have designed a novel HIV-1 inhibitor, compound 34, which binds to a previously untargeted site on the HIV-1
CA protein. Compound 34 offers an 11-fold increase in
efficacy to its parent compound 1 and was designed by
utilizing insightful medicinal and computational chemistry methods.
Furthermore, using biomolecular docking and SPR methods we validated
that compound 34 may bind to the same site as compound 1 but with a different orientation. Compound 34 is a polycyclic compound and often there are concerns that such
planar polycyclic compounds could intercalate with DNA and cause genotoxicity.
However, compound 34 contains a nitro substitution that
may be utilized to overcome the mutagenic potential and also add other
substituents to remove the planarity of the fused rings. Similar studies
were performed on lead compounds with acridine core by changing the
position of the nitro group substitution that reduced the mutagenic
potential of those compounds.[27] Future
studies will involve focused medicinal chemistry based optimization
of compound 34 to improve these metabolic and toxicity
liabilities. In addition, cocrystallization of these compounds with
CA protein will confirm the differences in binding mode between compounds 1 and 34, to aid in structure based optimization
to further improve potency.
Experimental Section
Chemicals
All chemicals were purchased from Asinex
Corporation USA and used without further purification. All compounds
were at a purity of 95% or greater.
Anti-HIV-1 Efficacy Evaluation
in Human Peripheral Blood Mononuclear
Cells
Assays involving HIV-1 infection of human peripheral
blood mononuclear cells (PBMCs) were performed as described previously.[15,28] Briefly, fresh PBMCs, seronegative for HIV-1 and HBV, isolated from
blood samples of the screened donors (Biological Specialty Corp.,
Colmar, PA) by using lymphocyte separation medium (Cellgro; Mediatech,
Inc., Manassas, VA), were stimulated by incubation in 4 μg/mL
phytohemagglutinin (PHA; Sigma) for 48 to 72 h. Mitogenic stimulation
was maintained with the addition of 20 U/mL recombinant humaninterleukin-2
(rhIL-2; R&D Systems, Minneapolis, MN) to the culture medium.
PHA-stimulated PBMCs from at least two donors were pooled, diluted
in fresh medium, and added to 96-well plates at 5 × 104 cells/well. Cells were infected with the HIV-1 group M isolate 89BZ167
(subtype B, CXCR4-tropic;[16] obtained courtesy
of Dr. Nelson Michael through the NIH AIDS Research and Reference
Reagent Program, Division of AIDS, NIAID, NIH [catalog no. 7692])
at a final multiplicity of infection [MOI] of ≅ 0.1 in the
presence of nine different concentrations of the test compounds (triplicate
wells/concentration) and incubated for 7 days. Viral replication in
the presence and absence of the test compounds was determined by analysis
of RT activity in the cell free supernatants.[29] Concomitantly, the cytotoxicity of the test compounds was measured
by the addition of 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (CellTiter 96 reagent, MTS; Promega) according
to the manufacturer’s instructions. The therapeutic index (TI)
of the test molecules was computed as the ratio of the half maximal
cytotoxicity concentration (CC50) to the half maximal inhibitory
concentration (IC50).
Molecular Modeling
All molecular descriptors were computed
using MOE (ver 10.1) and the IC50 values were obtained
from experimental methods described above. Docking studies with the
56 test compounds along with compound 1 were performed
as previously described and targeting the NTD–NTD binding interface
pocket.[15] Briefly, three-dimensional structures
of all 56 test compounds were modeled using the ligand builder module
of MOE. The compounds were optimized using semiempirical MOPAC using
AM1 parameters as adapted in MOE. The crystal structure of HIV-1 capsid
was obtained from protein databank (PDB code 3H4E) and was prepared
for docking by adding hydrogen atoms and energy minimizing the structure
as described previously.[15] Molecular dockings
were performed using GOLD (ver 4.1) using 20 independent runs for
each ligand and the protein–ligand complexes were scored using
goldscore, chemscore, and a customized consensus scoring scheme.[15]
Surface Plasmon Resonance Assays
All binding assays
were performed on a ProteOn XPR36 SPR interaction array (Bio-Rad,
Hercules, CA). ProteOn GLH sensor chips were preconditioned with two
10-s pulses each of 50 mM NaOH, 100 mM HCl, and 0.5% SDS. The system
was then equilibrated with 0.005% Tween-20 in phosphate-buffered saline
(PBS). Individual ligand flow channels were activated for 5 min at
25 °C with a mixture of 1-ethyl-3-[3-(dimethylamino)propyl carbodiimide
hydrochloride) (0.2 M) and sulfo-N-hydroxysuccinimide
(0.05 M). Immediately after chip activation, the CA protein, purified
as previously described,[15] was prepared
at 100 μg/mL in sodium acetate pH 4.5 and injected across ligand
flow channels for 5 min at a flow rate of 30 μL min–1. Then, after unreacted protein had been washed out, excess active
ester groups on the sensor surface were capped by the injection of
50 μL of 1 M ethanolamine (pH 8.0) at a flow rate of 5 μL/min.
A reference surface was similarly created by immobilizing a nonspecific
antibody ARC4033 (antimouse/rat interferon-γ: BioSource; Invitrogen,
Carlsbad, CA) and was used as background to correct nonspecific binding
and for instrument and buffer artifacts. The standard errors in the
immobilization levels from the six spots within each channel were
less than 4%.
Direct Binding of Compounds to HIV-1 CA
A stock solution
of compound 34 was prepared by dissolving in 100% DMSO
to a final concentration of 10 mM. To prepare the sample for analysis,
20 μL of DMSO was added to 30 μL of the compound stock
solution, which was then subsequently added to PBS-T buffer (20 mM
Na-phosphate, 150 mM NaCl, and 0.005% polysorbate 20, pH 7.4) to a
final volume of 1 mL and mixed thoroughly. Preparation of analyte
in this manner ensured that the concentration of DMSO was matched
with that of running buffer with 5% DMSO. Lower concentrations of
the compound were then prepared by 2-fold serial dilutions into running
buffer (PBS-T buffer (20 mM Na-phosphate, 150 mM NaCl, and 0.005%
polysorbate 20, pH 7.4. 5% DMSO). These compound dilutions were then
injected over the control and CA surfaces at a flow rate of 100 μL/min,
for a 2 min association phase, followed by a 2 min dissociation phase
using the “one-shot kinetics” functionality of the ProteOn
XPR36.[30] Specific regeneration of the surfaces
between injections was not needed due to the nature of the interaction.
SPR Data Analysis
Data were analyzed using the ProteOn
Manager Software version 3.0 (Bio-Rad). The responses of a buffer
injection and responses from the reference flow cell were subtracted
to account for injection artifacts and nonspecific binding.
Binding
Site Analysis via SPR
Wild-type and mutant
HIV-1 CA proteins were attached to the surface of a GLH sensor chip
by standard amine chemistry as described above. Compound 34 was injected over these surfaces at a concentration of 50 μM
at a flow rate of 100 μL/min, for a 2 min association phase,
and the response at equilibrium recorded. For comparison, and to take
into account minor differences in the ligand density of the mutant
surfaces, responses were normalized to the theoretical maximum response
(Rmax) for a given surface, assuming a
1:1 interaction. The responses from 12 replicate injections over each
CA surface were analyzed.
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