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Article

All-Atom MD Simulations of the HBV Capsid Complexed with AT130 Reveal Secondary and Tertiary Structural Changes and Mechanisms of Allostery

by
Carolina Pérez-Segura
1,
Boon Chong Goh
2 and
Jodi A. Hadden-Perilla
1,*
1
Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
2
Antimicrobial Resistance Interdisciplinary Research Group, Singapore-Massachusetts Institute of Technology Alliance for Research and Technology Centre, Singapore 138602, Singapore
*
Author to whom correspondence should be addressed.
Viruses 2021, 13(4), 564; https://doi.org/10.3390/v13040564
Submission received: 8 February 2021 / Revised: 15 March 2021 / Accepted: 23 March 2021 / Published: 26 March 2021
(This article belongs to the Special Issue Capsid-Targeting Antivirals and Host Factors)

Abstract

:
The hepatitis B virus (HBV) capsid is an attractive drug target, relevant to combating viral hepatitis as a major public health concern. Among small molecules known to interfere with capsid assembly, the phenylpropenamides, including AT130, represent an important antiviral paradigm based on disrupting the timing of genome packaging. Here, all-atom molecular dynamics simulations of an intact AT130-bound HBV capsid reveal that the compound increases spike flexibility and improves recovery of helical secondary structure in the spike tips. Regions of the capsid-incorporated dimer that undergo correlated motion correspond to established sub-domains that pivot around the central chassis. AT130 alters patterns of correlated motion and other essential dynamics. A new conformational state of the dimer is identified, which can lead to dramatic opening of the intradimer interface and disruption of communication within the spike tip. A novel salt bridge is also discovered, which can mediate contact between the spike tip and fulcrum even in closed conformations, revealing a mechanism of direct communication across these sub-domains. Altogether, results describe a dynamical connection between the intra- and interdimer interfaces and enable mapping of allostery traversing the entire core protein dimer.

1. Introduction

Hepatitis B virus (HBV) is a DNA hepadnavirus around 45 nm in diameter [1]. It causes chronic liver infection in 250 million people worldwide [2] and remains a major public health concern, despite the availability of a vaccine and therapeutic options [3]. The virus is enveloped, and its core is composed of a genome-containing capsid. The capsid, an attractive drug target, is a protein shell that self-assembles from homodimeric core protein (Cp) (Figure 1a,b). Particles that go on to become infectious incorporate 120 Cp dimers and exhibit T = 4 icosahedral geometry. The two quasi-equivalent positions Cp dimers occupy within the symmetry of the capsid are denoted AB and CD, where A chains form the twelve pentamers and B, C, and D chains form the thirty hexamers [4] (Figure 1c). Full-length Cp is composed of 183 amino acid residues (Cp183) and contains two domains: the assembly domain (Cp149) and the C-terminal domain (CTD). While Cp149 controls the capsid assembly process, the CTD is essential for genome packaging, reverse transcription, and intracellular trafficking [1]. Potentially all of these processes could be inhibited by targeting the capsid for antiviral intervention.
Numerous small molecules that affect capsid assembly in vitro have been identified. Collectively referred to as Cp allosteric modulators (CpAMs), these small molecules accelerate the assembly process, apparently by binding Cp and modulating its conformation [5]. One such family of CpAMs are the phenylpropenamides (PPAs), which include the compound AT130 [6] (Figure 2a). Unlike CpAMs that also misdirect assembly to produce aberrant structures, the presence of AT130 still leads to the formation of morphologically regular capsids. Nevertheless, AT130-bound capsids can become kinetically trapped, fail to correctly enclose the viral genome, and do not become infectious particles [7,8,9]. Thus, PPAs represent an important antiviral paradigm based on disrupting the timing of genome encapsidation and nuceolcapsid production, and characterizing their mechanism of action is highly relevant to therapeutic development. AT130 binds the capsid within hydrophobic pockets formed at interdimer interfaces (Figure 1c), particularly those found where the quasi-equivalent C chain overlaps the B chain (B site) and where the D chain overlaps the C chain (C site) [10]. A 4.20-Å crystal of an AT130-bound capsid indicates that the CpAM induces tertiary and quaternary changes and disrupts helical secondary structure in the spike tips [10].
The extraordinary flexibility of the HBV capsid often renders the atomistic details of its structure challenging to characterize. Owing to the consequences of capsid dynamics, experimental structures tend to exhibit low resolution [12]. All-atom molecular dynamics (MD) simulations offer a robust solution to the limitations of experimental methods and have emerged over the past 15 years as an essential technique for the study of virus structures at a scale applicable to probing their biology [13]. We have previously employed all-atom MD simulations to investigate the intact HBV capsid [12,14,15], as well as the free dimer [16], in all cases revealing deeper and more detailed information on the relationship between structure and function than was accessible to experiments. Additional atomistic studies have investigated early assembly intermediates of Cp149, including in the presence of CpAMs [17,18,19,20], providing further insight into the mechanisms of HBV capsid formation and disruption.
Here, we employ all-atom MD simulations to examine an intact AT130-bound capsid and extensively characterize the capsid-incorporated dimer. Our analyses leverage a cumulative 60 μs of sampling each for the AB and CD dimers to overcome the typical convergence challenges associated with computational study of a highly flexible protein. Comparisons are made with an analogous dataset describing the apo-form capsid, extracted from our previous simulation work [12], to demonstrate the effects of AT130 on dimer structure and dynamics under physiological conditions. Our results underscore the power of all-atom MD simulations to elucidate the nature of biological systems in their native environments, providing an indispensable complement to structure determination approaches that focus on static models or single conformations.
Investigation of the intact capsid facilitates study of the Cp dimer and CpAM binding site in the context of the fully-formed particle, which can be targeted with antivirals for disassembly [21]. Atomistic resolution and consideration of long-timescale dynamics enable us to reveal new information regarding secondary and tertiary response of the capsid-incorporated dimer to AT130, providing insights into both the protein’s conformational capabilities and the CpAM’s mechanism of action. While the spikes of the capsid appear disordered in the AT130-bound crystal model [10], our simulations indicate that the CpAM improves recovery and maintenance of their helical secondary structure. Consistently folded spike tips lead to smaller average bending angles along the dimer hinge, and typically, a closed and well-ordered intradimer interface.
However, through extensive sampling, we also identified a conformational state never before observed in experimental structures, characterized by dramatic opening of the intradimer interface and disruption of communication between half-dimers within the spike tip. This rare state was only observed in the CD dimer, occurred more frequently in the quasi-equivalent D chain in the presence of AT130, and often resulted in direct contact of the half-dimer spike tip with the fulcrum via formation of a salt bridge between Arg28 and Asp83. Salt bridge mediated connection of these sub-domains was also found to be possible in dimers whose key internal contacts were maintained, owing to adjustments of helix 2 or 4b, revealing a pathway for allosteric communication between the intra- and interdimer interfaces that does not pass through the four-helix bundle. Both the open spike state and higher populations of above- and below-average dimer hinge angles likely account for increased conformational variation captured for spikes tips in the AT130-bound crystal model [10], manifested as diminished resolution.

2. Materials and Methods

2.1. Computational Modeling

An atomistic model of the AT130-bound Cp149 HBV capsid was constructed based on an available crystal structure of the complex, PDB 4G93 [10]. Missing residues at the C-terminus of each protein chain were rebuilt using ROSETTA3 [22]. Residues 143–149 of five A chains forming a capsid pentamer were folded simultaneously to produce 2000 conformations, or 10,000 total structures for Cp149 in the quasi-equivalent A position. Residues 141–149 of two B chains, residues 140–149 of two C chains, and residues 143–149 of two D chains forming a capsid hexamer were folded simultaneously to produce 5000 conformations, or 10,000 total structures each for Cp149 in quasi-equivalent B, C, and D positions. The four ensembles were clustered using the partitioning around medoids algorithm based on root-mean-square deviation of the protein backbone [23] for the modeled termini. The medoid of the most populated cluster was selected as the final model for each chain in the capsid asymmetric unit.
The complete, intact capsid structure was generated by applying transformation matricies for a T = 4 icosahedron. Hydrogen atoms were added to the model using PDB2PQR [24] for a physiological pH of 7.0, assigning the protonation states of titratable groups according to local pKa. Sodium and chloride ions were placed around the capsid using the cionize module of Visual Molecular Dynamics (VMD) [25]. The capsid, along with local ions, was solvated in a 39.2 nm box of TIP3P water [26] with NaCl concentration of 150 mM. Simulation files were prepared with VMD’s psfgen module, applying the CHARMM36 force field [27]. The final system included 5.9 million atoms.

2.2. AT130 Parameterization

Custom force field parameters compatible with CHARMM36 were developed to describe AT130 (Figure 2a). The CHARMM general force field (CGenFF) program [28] was used to assign atom types and partial atomic charges by analogy, as well as to identify missing parameters not covered by CGenFF. The missing bond, angle, and dihedral parameters, those with high penalty scores, and the partial charges of all atoms were optimized using the Force Field Toolkit (ffTK) [29] plugin in VMD and Gaussian09 [30]. The 53-atom AT130 molecule was split into two minimal fragments (19 and 24 atoms, respectively, Figure 2b) to isolate key parameters and reduce the computational overhead of quantum mechanics (QM) calculations. The final potential energy profiles of refitted dihedral parameters demonstrated agreement with the those computed with QM (Figure 2c,d). All charges and parameters optimized using standard ffTK protocols were recombined with CGenFF to yield a complete parameter set for AT130. Notably, CGenFF parameters optimized using ffTK have been independently shown to appropriately model Cp-AT130 interactions and binding stability during MD simulations [31].

2.3. Molecular Dynamics Simulations

MD simulations were performed with NAMD 2.13 [32]. The capsid system was subjected to energy minimization with the steepest descent algorithm for 30,000 cycles, then thermalized by increasing the temperature from 60 K to 310 K over a duration of 5 ns. Cartesian restraints of 5 kcal/mol that were previously maintained on the protein backbone were removed over a duration of 5 ns. The capsid system was allowed to equilibrate for 5 ns without restraints prior to collection of 1.0 μs of production sampling. Trajectory frames were written every 20 ps.
MD simulations were performed in the NPT ensemble with a timestep of 2.0 fs. The r-RESPA integrator was used to propagate dynamics. Electrostatic interactions were split between short and long range at a cutoff of 12 Å based on a quintic polynomial splitting function. Long range electrostatics were calculated using the particle mesh Ewald algorithm with an initial grid spacing of 2.1 Å and 8 th order interpolation. Full electrostatic evaluations were carried out every other timestep. The Langevin thermostat algorithm was employed for constant temperature control at 310 K with a damping coefficient of 1.0 ps 1 . The Nosé-Hoover Langevin piston algorithm was employed for constant pressure control at 1.0 bar using isotropic scaling with piston oscillation period of 2000 fs and damping timescale of 1000 fs. Bonds to hydrogen were constrained using the SHAKE algorithm for solute and the SETTLE algorithm for water.

2.4. Trajectory Analysis

Analysis of MD simulation trajectories was carried out with VMD [25]. Characterization of each dimer system was based on an ensemble of three million total conformations. The 1.0-μs AT130-bound capsid trajectory was deconstructed into sixty 1.0-μs dimer trajectories for AB and CD quasi-equivalent subunits, totalling 60 μs of cumulative sampling for each type of capsid-incorporated dimer. Analogous data for the apo-form capsid was taken from a previously published simulation [12] based on PDB 2G33 [33]. A summary of the simulation systems analyzed in this study is provided in Table 1. The dimer trajectories were aligned to their respective crystal structures using the C α atoms of the Cp149 chassis (residues 1 to 10, 26 to 62, and 95 to 110).
Secondary structure assignments were made using the STRIDE algorithm [34]. Dynamical network models were generated in triplicate using three sets of one million randomly selected conformers. One node was assigned per protein residue and mapped to C α . Nodes were considered contacting and connected by an edge if their constituent atoms were within 4.5 Å in at least 75% of conformers. Covariance of node positions was used to assess correlated motion. Network analysis was performed using NetworkView [35], and the Girvan-Newman algorithm [36] was applied to identify network communities. Curvature of the dimer hinge was measured with Bendix [37], fitting bendices through residues 88–98. Principal component analysis was carried out as previously described [38], and mode visualization used NMWiz [39]. Twenty modes were calculated based on the capsid’s C α trace. Root mean square inner product (RMSIP) between mode sub-spaces was calculated according to the equation given by [40], employing the normalization scheme described by [41].

3. Results

3.1. Secondary Structure Analysis

Figure 3 shows a summary of secondary structure adopted by quasi-equivalent A, B, C, and D chains of capsid-incorporated dimers in the apo-form and AT130-bound systems during MD simulations. Notably, the spikes of the apo-form AB dimer are well-folded in the crystal model (PDB 2G33, 3.96 Å [33]), while those of the CD dimer are not (Figure 3, left). Our previous work on the apo-form capsid highlighted the flexibility of the spikes, particularly those of the CD dimer, and increased mobility was shown to correlate with higher B-factors and lower local resolution in experimental data [12]. Nevertheless, disordered spike conformations are in contrast with high resolution structures of the apo-form capsid (PDB 1QGT, 3.30 Å [4] and 6HTX, 2.66 Å [42]), which demonstrate that fully-folded CD spikes are possible.
During MD simulations of the apo-form capsid, the spikes of AB dimers were consistently ordered, with residues identified as helical in experimental structures exhibiting a high probability to remain so over microsecond timescales (Figure 3a,b). Taken together with previous results characterizing flexibility [12], these data indicate that spikes can be both well-folded and highly mobile, such that low resolution in experimental structures need not imply structural disruption. The spikes of CD dimers recovered some helicity relative to the crystal model, particularly in helix 3b, but were far more likely to be observed in partially-folded states (Figure 3c,d). Specifically, a fully-folded spike tip was present in 11.5% and 8.2% of conformers in apo-form C and D chains, respectively, while a spike tip that was folded along helix 3b but partially-folded along helix 4a was present in 75.2% and 79.8% of conformers (Figure S1a,b). Limited simulation timescales entail the consequence that biomolecules retain bias from their initial configurations. Given extended sampling, all constituent CD spikes may have eventually refolded. In previous MD simulations of the free dimer, we observed that a salt bridge between Glu77–Arg82 could stabilize partially-folded states of the spike [16]. The salt bridge was identified in 22.7% and 27.5% of conformers in apo-form C and D chains, respectively, accounting in part for their reduced ability to refold (Figure S1a,b).
In the crystal model of the AT130-bound capsid (PDB 4G93, 4.20 Å [10]), the spikes of all four quasi-equivalent chains are disordered, with CD dimers exhibiting even less helical content than in apo-form (Figure 3, right). This effect was attributed directly to the presence of the bound CpAM in the crystallographic study [10]. However, during MD simulations of the AT130-bound capsid, the spikes of AB dimers rapidly recovered helicity, exhibiting nearly the same probability to be fully-folded as in the apo-form capsid (Figure 3e,f). Interestingly, the majority of CD dimer spikes also refolded (Figure 3g,h), with 77.7% and 64.0% of conformers in AT130-bound C and D chains, respectively, found to contain maximum helicity (Figure S1c,d). Ultimately, following equilibration under physiological conditions, the AT130-bound capsid relaxes from the crystal model and adopts significantly more ordered spikes, even in the presence of the CpAM. This finding indicates that AT130 does not damage the helical nature of capsid spikes, but actually enhances the ability of spikes to refold relative to apo-form.
Beyond behavior of the capsid spikes, other differences between the crystal models and MD simulation ensembles are notable (Figure 3). The 3 10 -helical element preceding helix 1, which was not consistently identified in crystal structures, was observed in around half of the ensembles; this element demonstrated a higher probability to exist as an α -helix in the AT130-bound capsid. Helix 1, which is not clearly defined in the A, B, and D chains of the highest resolution crystal (PDB 6HTX, 2.66 Å [42]), was shown to exist as the expected α -helix the majority of the time in both apo-form and AT130-bound systems. Although the degree of disorder at the C-terminus of helix 2 varied, it occurred with the highest probability in chain A of the AT130-bound capsid. While a break in secondary structure associated with the dimer hinge between helix 4a and 4b was not emphasized in crystallographic data, it can be observed in MD simulation results in the 88–98 residue range. The length of the loop separating helices 4 and 5 exhibited some variability in length in the AT130-bound CD dimer, which is contacted by a CpAM on either side. The C-terminal tail exhibited some unexpected probability to contain 3 10 -helical regions, particularly around residue 140 in the B and C chains containing AT130, beyond the point at which the crystal model was well-resolved.

3.2. Dynamical Network Analysis

Figure 4 shows dynamical network models for the AB and CD capsid-incorporated dimers in the apo-form and AT130-bound systems, colored by communities and weighted by the extent of correlation in residue motions. Network models were calculated in triplicate, splitting each ensemble of three million frames into three sets of one million randomly selected frames. Notably, the three sub-datasets produced similar, yet inequivalent results (Figure S2). The observation that 20 μs of conformational sampling was insufficient for precision in the analysis underscores the highly flexible nature of the Cp dimer. Nevertheless, the presented network models reveal important aspects of correlated motion and communication in the functional dynamics of Cp, and findings are consistent with experimental characterizations of dimer sub-domains based on concerted structural displacements observed in crystal structures [11].
Dynamical network analysis is commonly applied to study functional dynamics in proteins and can shed light on mechanisms of allosteric communication and molecular signalling [43]. Network models comprise nodes representing residues, and here edges between nodes are based on correlation measured in residue motions. Communities are partitions of the network, within which there are more and stronger connections between nodes, indicating concerted movement. They may be thought of as structural sub-domains, but are defined and grouped purely according to dynamics [35]. Each Cp network model exhibited between seven and eleven communities, with the number of communities identified for a given dimer system varying over the three sub-datasets used for analysis (Figure S2).
Consistently, each model included at least five communities in the body of the dimer, and as many as four in the C-terminal tails. One community typically encompassed helix 1 and 5 for each half-dimer (Figure 4, purple and red). Importantly, helix 5 forms the interdimer interface or contact sub-domain. An additional community typically encompassed helix 2–3a for each half-dimer (Figure 4, blue and green), which comprises a portion of the chassis sub-domain [11]. The remainder of the Cp sub-domain commonly described as the fulcrum [11] was alternately involved in the helix 1,5 or helix 2–3a community of its parent half-dimer, or split between these two communities depending on the sub-dataset. A fifth community typically encompassed helices 3b-4a of both half-dimers in the spike tip (Figure 4, orange), which is also considered a distinct sub-domain [11]. The spike tip is an important aspect of the intradimer interface, and the latter was the only community shown to significantly bridge the two half-dimers. Like the fulcrum, helix 4b could be associated with either the helix 1,5 or 2–3a community. Key communities and their associated Cp sub-domains are summarized in Table 2. Figure 1a,b describes the locations and compositions of the sub-domains. Significant differences between network models involved fragmentation of the five major communities.
The helix 1,5 communities are consistently prominent and highly correlated across all network models (Figure 4, purple and red). This may arise in part from interdimer contact and constraints imposed by capsid quaternary structure enforcing shared motions. The concerted displacement of helix 5 during capsid incorporation has been proposed to modulate the assembly process [44]. In one apo-form chain D model, and two AT130-bound chain B models, a small community within helix 1 developed, with minimal attachments to the chassis (Figure 4c and Figure S2, yellow). The loop connecting helix 1 and 2, part of the fulcrum, which has been suggested to mechanically coordinate the motions of the interdimer interface and the spike [11], showed the ability to participate in the helix 1,5 community through weakly correlated motions (Figure 4).
Distinct C-terminal tail communities found in the apo-form system were absorbed by helix 1,5 communities in 4 out of 6 models of the AT130-bound system (Figure S2). That contact of the CpAM can establish communication between helix 5 and the C-terminals of Cp149 (which serve as flexible linkers to the RNA-binding CTDs in full-length Cp183 [45]) raises the possibility of a secondary mechanism underlying AT130’s ability to disrupt the process of genome packaging, apart from mistiming. On the other hand, all network models of AT130-bound chain D show the C-terminal tail community encroaching into that of helix 5 (Figure 4d, red), as far up the sequence as residue 126, likely resulting from direct interaction with the CpAM. Importantly, ordering of residues 126–136 has been correlated with capsid formation [44,46]. Secondary structure analysis showed that a 3 10 helix in this region becomes less likely in the A and D chains, yet more likely in the B chain in the presence of AT130 (Figure 3).
The helix 2–3a communities and the remainder of the chassis represent the regions of Cp with the least degree of correlated motion (Figure 4). Nevertheless, their dynamics are affected by AT130 in unexpected ways. Although it manifests as a single community in all models of apo-form chain A, the helix 2–3a community splits into separate helix 2 and helix 3a communities in all AT130-bound models (Figure 4a,c and Figure S2, light and dark green). This is an allosteric effect, possibly arising from changes in capsid morphology [10], as chain A does not contact the CpAM. Separate helix 2 and helix 3a communities are observed in two out of three models of chain B, regardless of direct interaction with AT130 (Figure 4a,c and Figure S2, light and dark blue). Helix 2 and helix 3a of chain C are split into separate communities in two out of three models in the apo-form system, but only one out of three models in the AT130-bound system (Figure 4b,d and Figure S2, light and dark green), which likewise involves direct contact. A single helix 2–3a community is found in all models of chain D regardless of the CpAM (Figure 4b,d and Figure S2, light and dark blue). Interestingly, chains A and D, which consistently exhibit combined helix 2–3a communities in the absence of AT130, also represent the quasi-equivalent pockets that are not amenable to AT130 binding [10].
The helix 3b-4a community is consistently prominent across all network models (Figure 4, orange). The strength of dynamical correlation within the community is strong when the probability of helicity is high, and is clearly decreased for the case of the apo-form CD dimer where the majority of spike tips remain only partially-folded (Figure 4b). Reduced helicity in the spike tips has been shown to disrupt the intradimer interface and negatively impact assembly [16]. Remarkably, in one model of the AT130-bound CD dimer, the helix 3b-4a community splits into two separate communities, one for each half-dimer (Figure 4d and Figure S2, light and dark orange), indicating diminished communication across the interface. Correlation within the individual half-dimer spike tips is also weakened. The structural origin of this tertiary disruption in the presence of AT130 can be attributed to dramatic bending of the dimer hinge (discussed in the following section), which results in an open spike conformation and broken intradimer interface with an increased probability in chain D.

3.3. Hinge Curvature Analysis

Figure 5 shows distributions of curvature adopted by the dimer hinge for the AB and CD capsid-incorporated dimers in the apo-form and AT130-bound systems during MD simulations. Importantly, Cp contains a hinge that connects the spike tip and chassis sub-domains. The hinge is defined by conserved Gly63 and Gly94, which impart a bending compliance to helix 3 and 4, respectively, and partition them into helices 3a/b and 4a/b [11]. We have previously used MD simulations to characterize hinge bending in free dimers, showing that fully-folded spike tips exhibited smaller angles of helix curvature and greater potential for a closed intradimer interface [16]. Here, the analysis is repeated for capsid-incorporated dimers, measuring the angle at the point of highest curvature along helix 4 (the hinge vertex), which was consistently found to be Val93 in both free and capsid-incorporated dimers. Note that the reported angles capture helix 4’s deviation from linearity resulting from bending of the hinge; larger hinge angles indicate more pronounced bending along the helix.
All four quasi-equivalent chains exhibit significantly higher average hinge angles than those observed in experimental structures of the apo-form capsid [4,33,42], more similar to those observed in crystals of assembly-incompetent dimers [11] (Figure 5). This result is noteworthy, as comparison of capsid and dimer structures has inspired hypotheses that relaxed hinges and closed intradimer interfaces are a feature of assembly-active Cp conformations [16]. MD simulations indicate that capsid-incorporated and free dimers are more alike in spike conformation than experiments suggest. On the other hand, hinge angles measured for the AT130-bound crystal model [10], particularly in the CD dimer, are quite extreme (Figure 5d). Importantly, these values are artifacts arising from highly disordered secondary structure within the hinge region, which leads to inaccurate fitting of helix abstractions and assessment of curvature [37].
The distributions of curvature measured for MD simulations of the apo-form capsid are Gaussian for all four quasi-equivalent chains (Figure 5a,b). The A chain distribution is markedly flatter than the other three. As the A chain forms capsid pentamers, quasi-equivalence likely accounts for differences in hinge behavior relative to the B, C, and D chains that form capsid hexamers. The A chain distribution, centered at 40.4 , also exhibits the highest angle (most dramatically bent hinge), while the B chain distribution, centered at 37.0 , exhibits the lowest (Figure 5a). Both A and B spike tips are well-folded during MD simulations, yet well-folded free dimers exhibited distributions centered at 37.0 (based on data from [16]), indicating that preferred hinge states are influenced by quasi-equivalence and constraints imposed by capsid quaternary structure. It is likely that because the A chain hinge is more bent on average, the B chain must necessarily be less bent on average to maintain a closed intradimer interface. An example of an apo-form AB dimer sampled during MD simulations is shown in Figure 6a.
Interestingly, the C and D chain distributions are balanced in average hinge angle, both centered at 39.3 (Figure 5b). The C and D spike tips have a high probability to be only partially-folded during MD simulations, and partially-folded free dimers exhibited distributions also centered at 39.3 (based on data from [16]). This result indicates that secondary structure is the primary determining factor for hinge behavior in CD dimers in the absence of AT130. The Glu77–Arg82 salt bridge, which was observed frequently in MD simulations of the apo-form CD dimer, can cause larger average hinge angles by stabilizing a loop at the apex of the partially-folded spike tip that has the potential to protrude into the interface, leading to steric clash and electrostatic repulsion that is alleviated by adopting increased curvature along helix 4 [16]. An example of an apo-form CD dimer sampled during MD simulations is shown in Figure 6b.
The distributions of curvature measured for MD simulations of the AT130-bound capsid are shifted and flattened for all four quasi-equivalent chains compared to apo-form (Figure 5c,d). Further, the distributions are only strictly Gaussian for B and C chains, which contain the occupied CpAM binding pockets, while the distributions for A and D chains exhibit distortion. Higher populations of above- and below-average hinge angles in the AT130-bound capsid could partially account for lower resolution in the crystal model [10], a consequence of averaging over more pronounced conformational variation in spikes. Importantly, the spike tips of all four quasi-equivalent chains are well-folded during MD simulations, so changes in hinge behavior are not a consequence of disordered secondary structure, but arise from the presence of AT130. The A and B chain distributions are shifted down by exactly 1.1 (Figure 5c), while the C and D chain distributions are shifted down by exactly 4.5 (Figure 5d), indicating relaxation of the hinge on average. An example of an AT130-bound AB and CD dimer sampled during MD simulations is shown in Figure 6c,d and Figure S4.
Notably, the D chain of AT130-bound dimers exhibits an unusual propensity for pronounced hinge bending during MD simulations, accounting for distortion on the right-side of the distribution (Figure 5d). Upon examination, it was discovered that larger hinge angles in the D chain often lead to marked opening of the spike tip and breaking of contact across the intradimer interface. This behavior explains fragmentation of network communities in the spike tip in the presence of AT130. Further, this open conformation facilitates formation of a salt bridge between Arg28–Asp83, which introduces a direct contact between the spike tip and fulcrum and provides a mechanistic explanation for allosteric communication across these sub-domains (Figure 6e–h).
Rarely, the open conformation, along with the salt bridge, was observed in apo-form CD dimers (Figure 6e), but never in AB dimers with or without AT130. Interestingly, the presence of the salt bridge is not necessarily an indication of an open spike conformation, as disorder in helix 4a or displacement of helix 2 can bring Arg28 in proximity to interact with Asp83 without breaking the intradimer interface (Figure 6f,g). Disruption in the chassis was possible, by prying away helix 4b, but network analysis did not indicate a role for the base of the four-helix bundle in intradimer communication. A partially-folded helix 3b appears to increase opportunity for the salt bridge. Overall, the Arg28–Asp83 interaction occurred with low probability, but was observed more often in the D chain with AT130 (Figure 6h). Time series of hinge angles and Arg28–Asp83 contact for apo-form and AT130-bound CD dimers are provided in Figure S3. Characterization of the typical separation distance between Arg28–Asp83 is provided in Figure S4.

3.4. Principal Component Analysis

Figure 7 shows the top five modes of essential dynamics observed for the AB and CD capsid-incorporated dimers in the apo-form and AT130-bound systems based on principal component analysis of MD simulations. Our previous work on the apo-form capsid examined essential dynamics for the complete icosahedron, reporting asymmetric distortion and complex collective motions of dimers within the capsid surface [12]. Overall, the intact capsid modes proved difficult to interpret due to limited conformational sampling. Here, each capsid-incorporated dimer system benefits from 60× more sampling, providing the advantage of reasonably converged datasets.
Twenty modes were calculated per dimer, and for each system, the top five modes together account for ∼40% of total variance. The first (lowest frequency) modes consistently contribute 10% or less to variance, ultimately indicating that there is no dominant fluctuation to be distilled from the dynamics. Cp remains a marvel of flexibility, even when constrained by the quaternary structure of the capsid. Due to the diversity of observed motions, it was not immediately clear, even given such a large conformational ensemble, whether the differences in modes across systems arose strictly from quasi-equivalence and the influence of AT130, or if the systems remain yet undersampled.
To assess convergence of simulation data, we used the root mean square inner product (RMSIP) [47] to compare the sub-spaces described by the modes. RMSIP scores range from zero to one, indicating the degree of similarity, where a value of one means the sub-spaces are identical or overlap completely. A score of 0.7 is considered excellent, while a score of 0.5 is considered fair [40,48]. Results of RMSIP analysis using twenty and five modes are given in Figure S5. Scores comparing the first and second halves of the simulation data are 0.9 for all systems, imparting confidence that their essential dynamics are well-sampled. Comparisons between each of the four simulations, AB and CD dimers in the apo-form and AT130-bound capsids, range from 0.5–0.7 for twenty modes and 0.3–0.5 for the top five. These results suggest that the motions described below can indeed be attributed to the effects of quasi-equivalence or AT130.
All calculated modes necessarily exhibit motion relative to the chassis, which has been described as the underlying constant substructure around which other dimer sub-domains pivot [11], and was used here as the standard for alignment. Indeed, the majority of mode movements can be linked to distinct sub-domains, including the fulcrum (helix 1–2), spike tip (helix 3b-4a), and interdimer contact sub-domain (helix 5) [11]. Overall, most motions capture flexing of the spike and radial movements of the fulcrum and helix 5. The latter may be related to the ability of the fivefold vertices of the capsid to protrude and sixfold/threefold vertices to flatten, a known morphological adjustment that can accommodate the presence of CpAMs [10,15,33,49].
For the apo-form AB system (Figure 7a), Mode 1 is characterized by spike waving, primarily on the side of chain A, consistent with the observation that its average dimer hinge angle is larger than that of chain B. Helix 3 of chain A concomitantly sinks into the dimer core. Mode 2 is characterized by a slight twisting of the half-dimers against each other at the chassis, along with upward motion of the fulcrum and helix 5 of chain B. Mode 3 is the converse of this movement, characterized by downward motion of the fulcrum and helix 5 of chain A, with corresponding motion of the spike. Mode 4 shares similarities with Mode 2, but the movement of the fulcrum of chain B is skewed toward chain A and carries the spike with it. Mode 5 involves a lateral stretching of helix 5 of chain A and opposite waving of the spike.
For the apo-form CD system (Figure 7b), Mode 1 is characterized by concerted motion of chain C, along with the spike tip of chain D, consistent with the observation from network models that helix 3b-4a is the key location of intradimer communication. Helix 5 of chain C undergoes an upward motion, perhaps shifting along with chain B where the two share an interface. Mode 2 is characterized by a rotary motion at the chassis, which sends the fulcrum and helix 5 of chain D upward. Mode 3 shares similarities with Mode 2 of the AB dimer, with slight twisting of the half-dimers against each other that sends the fulcrum and helix 5 of chain B downward. Mode 4 involves a lateral compression of the dimer, particularly along helix 4b-5 of chain D. Mode 5 pushes the fulcrum and helix 5 of chain C upward.
For the AT130-bound AB system (Figure 7c), Mode 1 is characterized by a slight twisting of the half-dimers against each other at the chassis, and a downward motion of the fulcrum and helix 5 of both chains. Mode 2 is characterized by spike movement, particularly in chain A. Interestingly the spike tips do not travel in the same direction. Mode 3 involves rotation of the half-dimers toward each other at the chassis, pressing upward the spike tip of chain B. Mode 4 shares similarities with Mode 1, entailing a dimer expansion that pushes the fulcrum and helix 5 of both chains upward, and that of chain B to the side. Mode 5 is a rotation of the dimer in the direction of chain B, which causes a seesawing movement along the helix 5 axes.
For the AT130-bound CD system (Figure 7d), Mode 1 is characterized by spike movement, particularly in chain C, similar to Mode 2 of the AB dimer. Again the spike tips do not travel in the same direction. Mode 2 is characterized by a familiar downward motion of helix 5 of chain D. Mode 3 involves concerted downward motion of the entire dimer, except the spike tip of chain D, which may arise from the conformations that exhibit a broken intradimer interface with disrupted cross-communication. Mode 3 entails a pressing of helix 5 of chain C downward. Mode 5 includes a contraction of helix 5 of both chains inward toward the chassis.

4. Discussion

Here, all-atom MD simulations were applied to study the HBV capsid in complex with the phenylpropenamide AT130 [10]. Comparison with the apo-form HBV capsid [33] based on an analogous, previously obtained MD simulation [12] enabled detection of changes in structure and dynamics induced by the bound CpAM. Importantly, the investigation of intact capsids on microsecond timescales afforded 60 μs of cumulative sampling for each quasi-equivalent capsid-incorporated dimer, providing an unprecedented conformational ensemble for the characterization of Cp behavior within the context of native physiological conditions. These data are highly complementary to the results of experimental structure determination, particularly for a system that exhibits prominent and functionally important conformational variation.
While a crystal model of the capsid complexed with AT130 suggested significant disruption of secondary structure, particularly in helix 3b-4a of the spikes [10], MD simulations based on this model showed that the majority of spikes rapidly refolded (Figure 3). Spikes exhibited a reduced ability to refold in the absence of AT130, indicating that, rather than damaging secondary structure, the CpAM facilitates recovery of spike helicity allosterically. Previous work has shown that mutations in the spike that impair refolding of helix 4a have a negative impact on capsid assembly [16]. It follows that maintenance of secondary structure in helix 4a may be an aspect of AT130’s assembly accelerating mechanism. Well-folded spike helices are associated with a stable intradimer interface, which has been linked to efficient assembly [50].
While a large body of evidence supports the existence of an allosteric connection between the intra- and interdimer interfaces, and that CpAMs tap into this allostery to speed oligomerization, the atomistic details of Cp’s allosteric network have remained elusive. Experiments indicate that the network spans the entire protein, entails concerted dynamics, and involves systematic movements of distinct dimer sub-domains [11,46,50,51]. Network models based on MD simulations confirm that previously established dimer sub-domains share correlated motions and that adjustments occur with respect to a central chassis (Figure 4). When spike tips are well-folded, dynamical cross-talk between half-dimers is prominent. Helix 5, the interdimer interface that mediates subunit contact, can communicate directly with the fulcrum through correlated motions. Helix 4b of the chassis can participate in their same network community and may, thus, play a role in transducing signal between the intra- and interdimer interfaces via its covalent connection to helix 4a and tertiary relationship with the fulcrum.
Alternatively, a new conformational state revealed here by MD simulations allows for direct contact between the spike tip and fulcrum via an Arg28–Asp83 salt bridge. Observation of this relatively rare state was made possible only by long-timescale examination of many copies of Cp. Formation of the salt bridge often occurred at the expense of the intradimer interface, requiring either unfolding of the spike tip or severing of association of half-dimers along helix 3b-4a. However, some conformers with the intact salt bridge retained intradimer communication, particularly if adjustments were made in positioning of the fulcrum or helix 4b (Figure 6f,g).
Such adjustments are likely more feasible in free dimers than in capsid-incorporated ones constrained by quaternary structure, such that the Arg28–Asp83 salt bridge may represent a literal missing link in the Cp allosteric mechanism. When present, the salt bridge facilities direct communication between the spike tip (helix 4a) and fulcrum (helix 2), which is linked dynamically with the contact sub-domain (helix 5), thus, connecting the intra- and interdimer interfaces. Even fleeting contact may be sufficient to transduce signal. Importantly, both Arg28 and Asp83 are highly conserved residues, appearing in 99% and 100% of deposited Cp sequences [52]. Indeed, the 1% mismatch refers to an R28K substitution, where lysine would be similarly capable of forming the salt bridge.
With respect to the role of CpAMs in modulating this allostery, AT130 physically contacts helix 2 and 5, which, according to network models, communicate via shared motions across the fulcrum loop. The CpAM also showed the ability to induce helical secondary structure in residues 126–136, depending on quasi-equivalence, as well as dynamical correlation between this region and the C-terminal tails. Ordering of residues 126–136 has been associated with capsid assembly [44,46], and a key aspect of AT130’s mechanism is the acceleration of assembly such that genome, which is bound by the CTDs, is not encapsulated [7,8]. Our data suggest that AT130 may be able to communicate with the CTDs allosterically via the correlated motions that extend from its binding site down the Cp149 tails, thus, influencing RNA binding and genome packaging.
Comparison of capsid and dimer crystals has inspired hypotheses that closed intradimer interfaces are a feature of assembly-active Cp conformations [16]. Structures previously described as open [11,16] pale in comparison to rare conformations observed during our MD simulations that exhibit notable bending of the dimer hinge and broken contact between half-dimers in the spike tip. As evidenced by network models, even a relatively small population of these structures was sufficient to diminish communication between half-dimers and affect the allostery spanning Cp. Such open and closed states are likely still related to the conformational switch that activates capsid assembly [11,46,51], but the discovery of the Arg28–Asp83 salt bridge raises new possibilities for the mechanism of switching. Mutations in the intradimer interface that alter assembly kinetics support an allosterically regulated switch. It may be that crosslinking of dimers at Cys61, which slows assembly [53], inhibits formation of the salt bridge, or that the F97L substitution, which speeds assembly [54], facilitates adjustment of helix 4b to accommodate the salt bridge without compromising intradimer contact.
The open dimer conformation that allows the Arg28–Asp83 salt bridge, as well as higher overall populations of above- and below-average dimer hinge angles (Figure 5) could partially account for low resolution obtained for spike tips in the AT130-bound crystal model, particularly in the D chain, whose secondary structure appears disordered all the way down to the hinge vertex [10]. The hinge contributes significantly to spike flexibility. Notably, principal component analysis emphasizes that spike motion is prominent, and even possible orthogonal to the direction of hinging (Figure 7). It may be that binding of CpAMs in B and C sites (which are capped, respectively, by C and D chains) somehow reduces quaternary stress on the capsid to facilitate spike refolding and allow for increased spike flexibility. As dimer hinge angles observed in crystal structures were not representative of the distributions captured in MD simulations, these structures likely do not adequately represent the capsid’s native state.
Variability in the conformational ensemble can account for poor resolution in experimentally-derived HBV capsid structures, a consequence of averaging over diverse conformers describing a highly flexible protein [12]. This outcome underscores the insufficiency of a single conformation for explaining structure-function relationships in complex biomolecular systems, and the value of complementary data that describes dynamical behavior at atomistic resolution for interpreting experimental observations [14,16]. Additional factors such as the necessary use of non-physiological buffers or alternative protein constructs (e.g., Cp150 engineered to crosslink the C-terminal tails) [10] can also account for differences between experimental and computational models. Neither the crystal structure nor our present simulations represent full-length Cp183 or the HBV core particle with packaged genome, and both of these are likely to exhibit a unique structural response to the presence of CpAMs. In future work, all-atom MD simulations will remain an essential technique for the study of viruses, revealing details that elude other structural biology approaches with respect to the interaction of capsids with small-molecule inhibitors, genome, and cellular host factors [13,15].

Supplementary Materials

The following are available at https://www.mdpi.com/article/10.3390/v13040564/s1, Figure S1: Spike helicity and Glu77–Arg82 salt bridge; Figure S2: Complete set of twelve network models; Figure S3: Hinge angle and Arg28–Asp83 salt bridge; Figure S4: Distance separating Arg28–Asp83); Figure S5: Root mean square inner product analysis; Table S1: Characteristics of hinge angle distributions.

Author Contributions

J.A.H.-P. designed the project, constructed models, performed simulations, secured funding and resources, and trained students. B.C.G. carried out AT130 parameterization. C.P.-S. performed data analysis and produced figures. All authors contributed to the preparation of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

Research reported in this publication was supported by the National Institutes of Health under award P20-GM-104316 and the National Science Foundation under award MCB-2027096, funded in part by Delaware Established Program to Stimulate Competitive Research. This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This research is part of the Frontera computing project at the Texas Advanced Computing Center. Frontera is made possible by the National Science Foundation under award OAC-1818253.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The dataset that supports the findings of this manuscript is available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Abbreviations

The following abbreviations are used in this manuscript:
CpCore protein
Cp149Core protein assembly domain, residues 1 to 149
Cp183Full-length core protein, residues 1 to 183
CpAMCore protein allosteric modulator
CTDC-terminal domain
HBVHepatitis B virus
MDMolecular dynamics
PPAPhenylpropenamide
PDBProtein Data Bank
QMQuantum mechanics
RMSIPRoot mean square inner product

References

  1. Venkatakrishnan, B.; Zlotnick, A. The structural biology of hepatitis B virus: Form and function. Annu. Rev. Virol. 2016, 3, 429–451. [Google Scholar] [CrossRef] [Green Version]
  2. Razavi-Shearer, D.; Gamkrelidze, I.; Nguyen, M.H.; Chen, D.S.; Van Damme, P.; Abbas, Z.; Abdulla, M.; Abou Rached, A.; Adda, D.; Aho, I.; et al. Global prevalence, treatment, and prevention of hepatitis B virus infection in 2016: A modelling study. Lancet Gastroenterol. Hepatol. 2018, 3, 383–403. [Google Scholar] [CrossRef]
  3. World Health Organization. Global Health Sector Strategy on Viral Hepatitis 2016–2021. Towards Ending Viral Hepatitis; Technical Report; World Health Organization: Geneva, Switzerland, 2016. [Google Scholar]
  4. Wynne, S.; Crowther, R.; Leslie, A. The crystal structure of the human hepatitis B virus capsid. Mol. Cell 1999, 3, 771–780. [Google Scholar] [CrossRef]
  5. Schlicksup, C.J.; Zlotnick, A. Viral structural proteins as targets for antivirals. Curr. Opin. Virol. 2020, 45, 43–50. [Google Scholar] [CrossRef] [PubMed]
  6. Perni, R.B.; Conway, S.C.; Ladner, S.K.; Zaifert, K.; Otto, M.J.; King, R.W. Phenylpropenamide derivatives as inhibitors of hepatitis B virus replication. Bioorganic Med. Chem. Lett. 2000, 10, 2687–2690. [Google Scholar] [CrossRef]
  7. Feld, J.; Colledge, D.; Sozzi, V.; Edwards, R.; Littlejohn, M.; Locarnini, S. The phenylpropenamide derivative AT-130 blocks HBV replication at the level of viral RNA packaging. Antivir. Res. 2007, 76, 168–177. [Google Scholar] [CrossRef]
  8. Katen, S.P.; Chirapu, S.R.; Finn, M.; Zlotnick, A. Trapping of hepatitis B virus capsid assembly intermediates by phenylpropenamide assembly accelerators. ACS Chem. Biol. 2010, 5, 1125–1136. [Google Scholar] [CrossRef] [Green Version]
  9. Kondylis, P.; Schlicksup, C.J.; Katen, S.P.; Lee, L.S.; Zlotnick, A.; Jacobson, S.C. Evolution of intermediates during capsid assembly of hepatitis B virus with phenylpropenamide-based antivirals. ACS Infect. Dis. 2019, 5, 769–777. [Google Scholar] [CrossRef]
  10. Katen, S.P.; Tan, Z.; Chirapu, S.R.; Finn, M.; Zlotnick, A. Assembly-directed antivirals differentially bind quasiequivalent pockets to modify hepatitis B virus capsid tertiary and quaternary structure. Structure 2013, 21, 1406–1416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Packianathan, C.; Katen, S.P.; Dann, C.E.; Zlotnick, A. Conformational changes in the hepatitis B virus core protein are consistent with a role for allostery in virus assembly. J. Virol. 2010, 84, 1607–1615. [Google Scholar] [CrossRef] [Green Version]
  12. Hadden, J.A.; Perilla, J.R.; Schlicksup, C.J.; Venkatakrishnan, B.; Zlotnick, A.; Schulten, K. All-atom molecular dynamics of the HBV capsid reveals insights into biological function and cryo-EM resolution limits. eLife 2018, 7, e32478. [Google Scholar] [CrossRef]
  13. Hadden, J.A.; Perilla, J.R. All-atom virus simulations. Curr. Opin. Virol. 2018, 31, 82–91. [Google Scholar] [CrossRef]
  14. Ruan, L.; Hadden, J.A.; Zlotnick, A. Assembly properties of hepatitis B virus core protein mutants correlate with their resistance to assembly-directed antivirals. J. Virol. 2018, 92. [Google Scholar] [CrossRef] [Green Version]
  15. Perilla, J.R.; Hadden, J.A.; Goh, B.C.; Mayne, C.G.; Schulten, K. All-atom molecular dynamics of virus capsids as drug targets. J. Phys. Chem. Lett. 2016, 7, 1836–1844. [Google Scholar] [CrossRef]
  16. Zhao, Z.; Wang, J.C.Y.; Segura, C.P.; Hadden-Perilla, J.A.; Zlotnick, A. The integrity of the intradimer interface of the Hepatitis B Virus capsid protein dimer regulates capsid self-assembly. ACS Chem. Biol. 2020, 15, 3124–3132. [Google Scholar] [CrossRef]
  17. Watanabe, G.; Sato, S.; Iwadate, M.; Umeyama, H.; Hayakawa, M.; Murakami, Y.; Yoneda, S. Molecular dynamics simulations to determine the structure and dynamics of hepatitis B virus capsid bound to a novel anti-viral drug. Chem. Pharm. Bull. 2016, 64, 1393–1396. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Tu, J.; Li, J.J.; Shan, Z.J.; Zhai, H.L. Exploring the binding mechanism of Heteroaryldihydropyrimidines and Hepatitis B Virus capsid combined 3D-QSAR and molecular dynamics. Antivir. Res. 2017, 137, 151–164. [Google Scholar] [CrossRef] [PubMed]
  19. Liu, H.; Okazaki, S.; Shinoda, W. Heteroaryldihydropyrimidines alter capsid assembly by adjusting the binding affinity and pattern of the hepatitis B virus core protein. J. Chem. Inf. Model. 2019, 59, 5104–5110. [Google Scholar] [CrossRef]
  20. Pavlova, A.; Bassit, L.; Cox, B.D.; Korablyov, M.; Chipot, C.; Verma, K.; Russell, O.O.; Schinazi, R.F.; Gumbart, J.C. Mechanism of action of HBV capsid assembly modulators predicted from binding to early assembly intermediates. bioRxiv 2020. [Google Scholar] [CrossRef]
  21. Qazi, S.; Schlicksup, C.J.; Rittichier, J.; VanNieuwenhze, M.S.; Zlotnick, A. An assembly-activating site in the hepatitis B virus capsid protein can also trigger disassembly. ACS Chem. Biol. 2018, 13, 2114–2120. [Google Scholar] [CrossRef] [PubMed]
  22. Leaver-Fay, A.; Tyka, M.; Lewis, S.M.; Lange, O.F.; Thompson, J.; Jacak, R.; Kaufman, K.W.; Renfrew, P.D.; Smith, C.A.; Sheffler, W.; et al. ROSETTA3: An object-oriented software suite for the simulation and design of macromolecules. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 2011; Volume 487, pp. 545–574. [Google Scholar]
  23. Goh, B.C.; Perilla, J.R.; England, M.R.; Heyrana, K.J.; Craven, R.C.; Schulten, K. Atomic modeling of an immature retroviral lattice using molecular dynamics and mutagenesis. Structure 2015, 23, 1414–1425. [Google Scholar] [CrossRef] [Green Version]
  24. Dolinsky, T.J.; Czodrowski, P.; Li, H.; Nielsen, J.E.; Jensen, J.H.; Klebe, G.; Baker, N.A. PDB2PQR: Expanding and upgrading automated preparation of biomolecular structures for molecular simulations. Nucleic Acids Res. 2007, 35, W522–W525. [Google Scholar] [CrossRef]
  25. Humphrey, W.; Dalke, A.; Schulten, K. VMD: Visual Molecular Dynamics. J. Mol. Graph. 1996, 14, 33–38. [Google Scholar] [CrossRef]
  26. Jorgensen, W.L.; Chandrasekhar, J.; Madura, J.D.; Impey, R.W.; Klein, M.L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 1983, 79, 926–935. [Google Scholar] [CrossRef]
  27. Best, R.B.; Zhu, X.; Shim, J.; Lopes, P.E.; Mittal, J.; Feig, M.; MacKerell, A.D., Jr. Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone ϕ, ψ and side-chain χ1 and χ2 dihedral angles. J. Chem. Theory Comput. 2012, 8, 3257–3273. [Google Scholar] [CrossRef] [Green Version]
  28. Vanommeslaeghe, K.; Hatcher, E.; Acharya, C.; Kundu, S.; Zhong, S.; Shim, J.; Darian, E.; Guvench, O.; Lopes, P.; Vorobyov, I.; et al. CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 2010, 31, 671–690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Mayne, C.G.; Saam, J.; Schulten, K.; Tajkhorshid, E.; Gumbart, J.C. Rapid parameterization of small molecules using the force field toolkit. J. Comput. Chem. 2013, 34, 2757–2770. [Google Scholar] [CrossRef] [Green Version]
  30. Frisch, M.; Trucks, G.; Schlegel, H.; Scuseria, G.; Robb, M.; Cheeseman, J.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G.; et al. Gaussian09; Gaussian, Inc.: Wallingford, CT, USA, 2009. [Google Scholar]
  31. Pang, Y.T.; Pavlova, A.; Tajkhorshid, E.; Gumbart, J.C. Parameterization of a drug molecule with a halogen σ-hole particle using ffTK: Implementation, testing, and comparison. J. Chem. Phys. 2020, 153, 164104. [Google Scholar] [CrossRef] [PubMed]
  32. Phillips, J.C.; Braun, R.; Wang, W.; Gumbart, J.; Tajkhorshid, E.; Villa, E.; Chipot, C.; Skeel, R.D.; Kale, L.; Schulten, K. Scalable molecular dynamics with NAMD. J. Comput. Chem. 2005, 26, 1781–1802. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Bourne, C.R.; Finn, M.; Zlotnick, A. Global structural changes in hepatitis B virus capsids induced by the assembly effector HAP1. J. Virol. 2006, 80, 11055–11061. [Google Scholar] [CrossRef] [Green Version]
  34. Frishman, D.; Argos, P. Knowledge-based protein secondary structure assignment. Proteins Struct. Funct. Bioinform. 1995, 23, 566–579. [Google Scholar] [CrossRef] [PubMed]
  35. Eargle, J.; Luthey-Schulten, Z. NetworkView: 3D display and analysis of protein· RNA interaction networks. Bioinformatics 2012, 28, 3000–3001. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Girvan, M.; Newman, M.E. Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA 2002, 99, 7821–7826. [Google Scholar] [CrossRef] [Green Version]
  37. Dahl, A.C.E.; Chavent, M.; Sansom, M.S. Bendix: Intuitive helix geometry analysis and abstraction. Bioinformatics 2012, 28, 2193–2194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Perilla, J.R.; Schulten, K. Physical properties of the HIV-1 capsid from all-atom molecular dynamics simulations. Nat. Commun. 2017, 8, 1–10. [Google Scholar] [CrossRef]
  39. Bakan, A.; Meireles, L.M.; Bahar, I. ProDy: Protein dynamics inferred from theory and experiments. Bioinformatics 2011, 27, 1575–1577. [Google Scholar] [CrossRef] [Green Version]
  40. David, C.C.; Jacobs, D.J. Characterizing protein motions from structure. J. Mol. Graph. Model. 2011, 31, 41–56. [Google Scholar] [CrossRef] [Green Version]
  41. Martín-García, F.; Papaleo, E.; Gomez-Puertas, P.; Boomsma, W.; Lindorff-Larsen, K. Comparing molecular dynamics force fields in the essential subspace. PLoS ONE 2015, 10, e0121114. [Google Scholar] [CrossRef] [Green Version]
  42. Böttcher, B.; Nassal, M. Structure of mutant hepatitis B core protein capsids with premature secretion phenotype. J. Mol. Biol. 2018, 430, 4941–4954. [Google Scholar] [CrossRef] [PubMed]
  43. Feher, V.A.; Durrant, J.D.; Van Wart, A.T.; Amaro, R.E. Computational approaches to mapping allosteric pathways. Curr. Opin. Struct. Biol. 2014, 25, 98–103. [Google Scholar] [CrossRef] [Green Version]
  44. Zhao, Z.; Wang, J.C.Y.; Gonzalez-Gutierrez, G.; Venkatakrishnan, B.; Asor, R.; Khaykelson, D.; Raviv, U.; Zlotnick, A. Structural differences between the woodchuck hepatitis virus core protein in the dimer and capsid states are consistent with entropic and conformational regulation of assembly. J. Virol. 2019, 93. [Google Scholar] [CrossRef] [Green Version]
  45. Watts, N.R.; Conway, J.F.; Cheng, N.; Stahl, S.J.; Belnap, D.M.; Steven, A.C.; Wingfield, P.T. The morphogenic linker peptide of HBV capsid protein forms a mobile array on the interior surface. EMBO J. 2002, 21, 876–884. [Google Scholar] [CrossRef] [Green Version]
  46. Hilmer, J.K.; Zlotnick, A.; Bothner, B. Conformational equilibria and rates of localized motion within hepatitis B virus capsids. J. Mol. Biol. 2008, 375, 581–594. [Google Scholar] [CrossRef] [Green Version]
  47. Hess, B. Convergence of sampling in protein simulations. Phys. Rev. E 2002, 65, 031910. [Google Scholar] [CrossRef] [Green Version]
  48. Amadei, A.; Ceruso, M.A.; Di Nola, A. On the convergence of the conformational coordinates basis set obtained by the essential dynamics analysis of proteins’ molecular dynamics simulations. Proteins Struct. Funct. Bioinform. 1999, 36, 419–424. [Google Scholar] [CrossRef]
  49. Venkatakrishnan, B.; Katen, S.P.; Francis, S.; Chirapu, S.; Finn, M.; Zlotnick, A. Hepatitis B virus capsids have diverse structural responses to small-molecule ligands bound to the heteroaryldihydropyrimidine pocket. J. Virol. 2016, 90, 3994–4004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Patterson, A.; Zhao, Z.; Waymire, E.; Zlotnick, A.; Bothner, B. Dynamics of Hepatitis B virus capsid protein dimer regulate assembly through an allosteric network. ACS Chem. Biol. 2020, 15, 2273–2280. [Google Scholar] [CrossRef] [PubMed]
  51. Bereszczak, J.Z.; Watts, N.R.; Wingfield, P.T.; Steven, A.C.; Heck, A.J. Assessment of differences in the conformational flexibility of hepatitis B virus core-antigen and e-antigen by hydrogen deuterium exchange-mass spectrometry. Protein Sci. 2014, 23, 884–896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  53. Selzer, L.; Katen, S.P.; Zlotnick, A. The hepatitis B virus core protein intradimer interface modulates capsid assembly and stability. Biochemistry 2014, 53, 5496–5504. [Google Scholar] [CrossRef]
  54. Ceres, P.; Stray, S.J.; Zlotnick, A. Hepatitis B virus capsid assembly is enhanced by naturally occurring mutation F97L. J. Virol. 2004, 78, 9538–9543. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. HBV core protein dimer and capsid. (a,b) Schematics of Cp149 dimer, illustrating the five typical α -helices, labeled 1–5 from the N- to C-terminus. Established dimer sub-domains [11] are indicated, including the chassis, fulcrum, hinge, spike tip, which forms part of the intradimer interface, and interdimer interface, where helix 5 of neighboring chains overlap and form a CpAM binding pocket. (c) The T = 4 icosahedral capsid incorporates 120 dimers, whose chains can occupy four quasi-equivalent positions, designated A (blue), B (orange), C (green), and D (purple). Capsid-incopororated dimers are, thus, denoted AB and CD. Five copies of A chains form the 12 capsid pentamers, while two copies of B, C, and D chains form the 30 capsid hexamers. The AT130-bound crystal structure (PDB 4G93 [10], shown) indicates that the CpAM binds the capsid in B sites, between B and C chains, and C sites, between C and D chains.
Figure 1. HBV core protein dimer and capsid. (a,b) Schematics of Cp149 dimer, illustrating the five typical α -helices, labeled 1–5 from the N- to C-terminus. Established dimer sub-domains [11] are indicated, including the chassis, fulcrum, hinge, spike tip, which forms part of the intradimer interface, and interdimer interface, where helix 5 of neighboring chains overlap and form a CpAM binding pocket. (c) The T = 4 icosahedral capsid incorporates 120 dimers, whose chains can occupy four quasi-equivalent positions, designated A (blue), B (orange), C (green), and D (purple). Capsid-incopororated dimers are, thus, denoted AB and CD. Five copies of A chains form the 12 capsid pentamers, while two copies of B, C, and D chains form the 30 capsid hexamers. The AT130-bound crystal structure (PDB 4G93 [10], shown) indicates that the CpAM binds the capsid in B sites, between B and C chains, and C sites, between C and D chains.
Viruses 13 00564 g001
Figure 2. Parameterization of AT130. (a,b) The phenylpropenamide derivative AT130 was divided into two minimal fragments for QM calculations. (c,d) Optimized dihedral parameters show accurate reproduction of QM rotational profiles.
Figure 2. Parameterization of AT130. (a,b) The phenylpropenamide derivative AT130 was divided into two minimal fragments for QM calculations. (c,d) Optimized dihedral parameters show accurate reproduction of QM rotational profiles.
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Figure 3. Secondary structure of capsid-incorporated dimers. (ad) Chains A, B, C, and D of apo-form capsid (PDB 2G33, 3.96 Å). (eh) Chains A, B, C, and D of AT130-bound capsid (PDB 4G93, 4.20 Å). Cartoon representation for each chain of crystal models shown, along with their secondary structure assignments according to STRIDE [34]. Histograms indicate probability of each Cp149 residue to be observed in a given secondary structure during MD simulations, calculated based on ensembles of three million conformers collected over 60 μs of cumulative sampling. Purple denotes α -helix. Secondary structure of high resolution crystal structures (PDB 1QGT, 3.30 Å [4] and 6HTX, 2.66 Å [42]) provided for reference.
Figure 3. Secondary structure of capsid-incorporated dimers. (ad) Chains A, B, C, and D of apo-form capsid (PDB 2G33, 3.96 Å). (eh) Chains A, B, C, and D of AT130-bound capsid (PDB 4G93, 4.20 Å). Cartoon representation for each chain of crystal models shown, along with their secondary structure assignments according to STRIDE [34]. Histograms indicate probability of each Cp149 residue to be observed in a given secondary structure during MD simulations, calculated based on ensembles of three million conformers collected over 60 μs of cumulative sampling. Purple denotes α -helix. Secondary structure of high resolution crystal structures (PDB 1QGT, 3.30 Å [4] and 6HTX, 2.66 Å [42]) provided for reference.
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Figure 4. Dynamical network models of capsid-incorporated dimers. (a,b) Representative model for apo-form AB and CD dimers. (c,d) Representative model for AT130-bound AB and CD dimers. Models calculated in triplicate (Figure S2) based on ensembles of one million conformers collected over 20 μs of cumulative sampling. Models shown colored by communities and weighted by the extent of correlation in residue motions. Visualization created with NetworkView [35]. Five major communities encompass helix 1,5 of each half-dimer (purple and red), where helix 5 forms the interdimer interface, helix 2–3a of each half-dimer (blue and green), which are part of the chassis sub-domain, and helix 3b-4a of both half dimers (orange), called the spike tip. The remainder of the fulcrum sub-domain (black arrow) participated in either the helix 1,5 or helix 2–3a community within the same half-dimer. Significant differences between network models involved the fragmentation of these five major communities, particularly 2–3a and 3b-4a, denoted by light and dark variations on each color (light and dark blue, green, and orange). A small community in helix 1 was also occasionally observed (yellow).
Figure 4. Dynamical network models of capsid-incorporated dimers. (a,b) Representative model for apo-form AB and CD dimers. (c,d) Representative model for AT130-bound AB and CD dimers. Models calculated in triplicate (Figure S2) based on ensembles of one million conformers collected over 20 μs of cumulative sampling. Models shown colored by communities and weighted by the extent of correlation in residue motions. Visualization created with NetworkView [35]. Five major communities encompass helix 1,5 of each half-dimer (purple and red), where helix 5 forms the interdimer interface, helix 2–3a of each half-dimer (blue and green), which are part of the chassis sub-domain, and helix 3b-4a of both half dimers (orange), called the spike tip. The remainder of the fulcrum sub-domain (black arrow) participated in either the helix 1,5 or helix 2–3a community within the same half-dimer. Significant differences between network models involved the fragmentation of these five major communities, particularly 2–3a and 3b-4a, denoted by light and dark variations on each color (light and dark blue, green, and orange). A small community in helix 1 was also occasionally observed (yellow).
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Figure 5. Hinge curvature analysis of capsid-incorporated dimers. (a,b) Distribution of angles for apo-form AB and CD dimers. (c,d) Distribution of angles for AT130-bound AB and CD dimers. Quasi-equivalent chains A, B, C, and D are colored blue, orange, green, and purple, respectively. Angles denote the curvature or deviation from linearity at the hinge vertex (Val93), measured with Bendix [37] along residues 88–98. Distributions calculated based on ensembles of three million conformers collected over 60 μs of cumulative sampling, dividing data into 80 bins. Centers of distributions are indicated, and angles measured for relevant experimental structures are provided for reference. PDB 3KXS, 2.25 Å [11] describes a crystal of the assembly incompetent dimer, where the six resolved chains are not distinguished by quasi-equivalence. Distribution characteristics, including mean and standard deviation, are provided in Table S1.
Figure 5. Hinge curvature analysis of capsid-incorporated dimers. (a,b) Distribution of angles for apo-form AB and CD dimers. (c,d) Distribution of angles for AT130-bound AB and CD dimers. Quasi-equivalent chains A, B, C, and D are colored blue, orange, green, and purple, respectively. Angles denote the curvature or deviation from linearity at the hinge vertex (Val93), measured with Bendix [37] along residues 88–98. Distributions calculated based on ensembles of three million conformers collected over 60 μs of cumulative sampling, dividing data into 80 bins. Centers of distributions are indicated, and angles measured for relevant experimental structures are provided for reference. PDB 3KXS, 2.25 Å [11] describes a crystal of the assembly incompetent dimer, where the six resolved chains are not distinguished by quasi-equivalence. Distribution characteristics, including mean and standard deviation, are provided in Table S1.
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Figure 6. Notable conformations of capsid-incorporated dimers. (a,b) Representative structures for apo-form AB and CD dimers. (c,d) Representative structures for AT130-bound AB and CD dimers. Quasi-equivalent chains A, B, C, and D are colored blue, orange, green, and purple, respectively. Arg28 and Asp83, which can form a rare salt bridge, are labeled. Apex of the dimer hinge (Val93) is denoted by a red arrow and measurement of curvature at the apex is given beneath. (eh) Structures for apo-form and AT130-bound CD dimers illustrating conformations that allow the Arg28–Asp83 salt bridge, enabling direct contact between the spike and fulcrum. All structures are aligned based on the dimer chassis. Conformations with large hinge angle and intact salt bridge within a half-dimer exhibit an open spike tip and disrupted intradimer interface. This state was observed most often for the AT130-bound D chain (2.1% versus <0.4% of conformers, see Figure S3).
Figure 6. Notable conformations of capsid-incorporated dimers. (a,b) Representative structures for apo-form AB and CD dimers. (c,d) Representative structures for AT130-bound AB and CD dimers. Quasi-equivalent chains A, B, C, and D are colored blue, orange, green, and purple, respectively. Arg28 and Asp83, which can form a rare salt bridge, are labeled. Apex of the dimer hinge (Val93) is denoted by a red arrow and measurement of curvature at the apex is given beneath. (eh) Structures for apo-form and AT130-bound CD dimers illustrating conformations that allow the Arg28–Asp83 salt bridge, enabling direct contact between the spike and fulcrum. All structures are aligned based on the dimer chassis. Conformations with large hinge angle and intact salt bridge within a half-dimer exhibit an open spike tip and disrupted intradimer interface. This state was observed most often for the AT130-bound D chain (2.1% versus <0.4% of conformers, see Figure S3).
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Figure 7. Essential dynamics of capsid-incorporated dimers. (a) Apo-form dimer AB. (b) Apo-form dimer CD. (c) AT130-bound dimer AB. (d) AT130-bound dimer CD. Backbone trace of dimers shown for each of the top five modes of essential dynamics, calculated based on principal component analysis of 60 μs of cumulative simulation sampling. Blue to red color scale denotes high to low mobility. Black arrows indicate direction of motion and are scaled by 12 for visual clarity. Percentages indicate contributions to variance, which total 38.0%, 40.2%, 39.9%, and 38.4%, respectively for panels (ad).
Figure 7. Essential dynamics of capsid-incorporated dimers. (a) Apo-form dimer AB. (b) Apo-form dimer CD. (c) AT130-bound dimer AB. (d) AT130-bound dimer CD. Backbone trace of dimers shown for each of the top five modes of essential dynamics, calculated based on principal component analysis of 60 μs of cumulative simulation sampling. Blue to red color scale denotes high to low mobility. Black arrows indicate direction of motion and are scaled by 12 for visual clarity. Percentages indicate contributions to variance, which total 38.0%, 40.2%, 39.9%, and 38.4%, respectively for panels (ad).
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Table 1. The four MD simulation systems analyzed in this study.
Table 1. The four MD simulation systems analyzed in this study.
Apo-Form CapsidAT130-Bound Capsid
AB capsid-incorporated dimerAB capsid-incorporated dimer
CD capsid-incorporated dimerCD capsid-incorporated dimer
Table 2. Major communities identified in dynamical network models.
Table 2. Major communities identified in dynamical network models.
Observed CommunityAssociated Sub-Domains
Helix 1,5interdimer interface, all or part of fulcrum or helix 4b
Helix 2–3achassis, all or part of fulcrum or helix 4b
Helix 3b-4aintradimer interface, spike tip
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Pérez-Segura, C.; Goh, B.C.; Hadden-Perilla, J.A. All-Atom MD Simulations of the HBV Capsid Complexed with AT130 Reveal Secondary and Tertiary Structural Changes and Mechanisms of Allostery. Viruses 2021, 13, 564. https://doi.org/10.3390/v13040564

AMA Style

Pérez-Segura C, Goh BC, Hadden-Perilla JA. All-Atom MD Simulations of the HBV Capsid Complexed with AT130 Reveal Secondary and Tertiary Structural Changes and Mechanisms of Allostery. Viruses. 2021; 13(4):564. https://doi.org/10.3390/v13040564

Chicago/Turabian Style

Pérez-Segura, Carolina, Boon Chong Goh, and Jodi A. Hadden-Perilla. 2021. "All-Atom MD Simulations of the HBV Capsid Complexed with AT130 Reveal Secondary and Tertiary Structural Changes and Mechanisms of Allostery" Viruses 13, no. 4: 564. https://doi.org/10.3390/v13040564

APA Style

Pérez-Segura, C., Goh, B. C., & Hadden-Perilla, J. A. (2021). All-Atom MD Simulations of the HBV Capsid Complexed with AT130 Reveal Secondary and Tertiary Structural Changes and Mechanisms of Allostery. Viruses, 13(4), 564. https://doi.org/10.3390/v13040564

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