Biology subjects

Gnanakaran, S.

Publications and source records attributed to Gnanakaran, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Sequential HIV-1 fusion protein gates control the initiation of host cell entry

HIV-1 fusion with host cells is initiated upon engagement of the viral envelope (Env) protein by its receptors and co-receptors. Receptor-induced conformational changes in the Env ectodomain expose the fusion machinery and position the HIV-1 fusion peptide for release and transit to the host membrane. However, no allosteric rearrangements in the envelope receptor/co-receptor binding domain that could induce fusion peptide release have been identified, and the trigger for the structural cascade that brings the viral and host membranes together remains unknown. Here, we identified two sequential conformational gates that control fusion peptide release, thereby facilitating its transition to the host membrane. We show that destabilizing a clasp holding the fusion peptide proximal motif enhances fusion peptide release, and that a coupled downstream gate controls the release of the receptor-binding gp120 subunit. Single-particle cryo-EM structures, biased and unbiased atomistic simulations, and functional experiments reveal that this process is controlled by shifts in the angular orientation of the gp120 subunits, induced by the geometries required for receptor and co-receptor binding. These results show how HIV-1 senses contact with the host cell to initiate fusion, thereby permitting viral entry.

molecular biology↗

bioRxiv2026

Reconstructing a Missing Link of HIV-1 Assembly: HIV-1 Envelope-Matrix Interactions in a Native Viral Context

The envelope surface glycoprotein (Env) on HIV-1 drives cell entry and genome delivery through its receptor binding and membrane fusion activities. Incorporation of Env onto assembling virions is governed by its cytoplasmic tail (Env-CT) and the matrix (MA) domain of the PR55Gag (Gag) polyprotein. To better understand how Gag recruits Env onto virions while reducing its antigenic profile by restricting Env copy number to low levels, we used cryo-electron tomography (cryo-ET) and subtomogram averaging combined with molecular dynamics simulations to investigate Env-MA association in intact viral particles. Full-length Env-CT was resolved directly over individual MA trimers in regions of MA lattice discontinuity. We observed that the conserved but enigmatic Kennedy-sequence motif in Env-CT forms a key linkage between Env and MA. Mutational analysis confirmed the impact of specific CT and MA interactions on Env incorporation. Gag maturation released MA lattice restraints on Env, facilitating its clustering and promoting fusion activity.

biochemistry↗

bioRxiv2026

Structure of HIV-1 Env glycoprotein on virions reveals an alternative fusion subunit organization and native membrane coupling

An effective vaccine for Human Immunodeficiency Virus type-1 (HIV-1) has yet to be developed, and detailed characterization of functional Env glycoprotein, the primary antigenic target on virions, has remained elusive. While engineered Env trimers recapitulate many aspects of functional Env, key differences in antigenicity and dynamic behavior have been reported. Here, cryo-electron tomography and subtomogram averaging of HIV-1 virus-like particles (VLPs) revealed conformational differences in critical membrane-proximal regions compared to soluble Envs. Hydrogen/Deuterium-Exchange Mass Spectrometry and Molecular Dynamics captured dynamic profiles of membrane-bound Env and identified critical interactions with membrane. We show that disruption of the viral membrane results in relaxation of Env to a form that resembles engineered, soluble trimers. Additionally, Env from mature and immature VLPs exhibit only minor conformational differences, while surface clustering on virions changes significantly. These studies provide new insights into the essential role the membrane plays in maintaining Env in its native conformational form.

biochemistry↗

bioRxiv2025

Structure-Based Optimization of Pathogen Signal Sequences for Enhanced Antigen Expression in Humans for Vaccine Designs

Signal peptides (SPs) are short amino acid sequences found at the N-terminus of nascent polypeptides, which serve critical roles in trafficking, folding, and post-translational processing of mature proteins. Many sequence-based computational methods have been developed to predict and design optimal SPs for protein secretion in human cells. In this work, we introduce a structure-based workflow for identifying SPs and their regions, aiming to optimize SPs for protein secretion in human cells. Structural modeling of the SPs in complex with human signal recognition particle 54 kDa (SRP54), combined with hydrophobicity plots of the SPs and identification of the cleavage motif, can be used to detect SPs and SP regions. Afterwards, LigandMPNN is applied to redesign the SPs based on their structural complexes with SRP54. We employ our workflow to optimize the bacterial Yersinia pestis F1 SP, Lassa virus glycoprotein (GP) SP, and Venezuelan equine encephalitis virus (VEEV) E3 envelope protein for protein secretion in human cells to serve as vaccine candidates. By comparing the redesigned SPs with the original SPs, we propose that the binding affinity of SPs to SRP54 serve as the most important molecular determinant in the activity of the SPs. Notably, our experiments confirm that the structurally optimized SPs can express the Y. pestis F1 protein, Lassa GP, and VEEV GP in human cells. Overall, we demonstrate that structural modeling can serve as a valuable tool to predict the SPs and SP regions for vaccine antigens, predict whether the SPs can express mature proteins in humans, and optimize the SPs for the expression of mature proteins in humans.

biophysics↗

bioRxiv2025

SignalGen: A Protein Language Model Based AI Agent For Optimal Signal Peptide Prediction

Signal peptides are short amino acid sequences attached to the N-termini of mature proteins. They play determinant roles in protein expression as well as localization of mature proteins. While sequence-based machine learning (ML) models have been developed to identify the signal peptide sequences given the full or mature protein sequences, no model has been created to design optimal signal peptides with the localization of the mature proteins taken into account. Here, we develop a ML model that considers the mature protein sequence, organism, and localization as inputs, encodes and processes them through a Latent Residual Transformer (LRT), and outputs the optimal signal peptide sequences for enhanced expression of the mature proteins, regardless of whether the proteins are non-native to the organism or de novo. The model is trained using the latest data from the UniProt database up until July 2025. Benchmarking of our ML model shows good performance in predicting the signal peptides for both human and non-human proteins from the UniProt database. Furthermore, our ML model is implemented with an artificial intelligence (AI) agent to enhance accessibility for the general scientific community. Findings from this study provide a framework for predicting optimal signal peptides for non-native protein expression of viral and bacterial vaccine candidates in human cells and for enhanced expression of de novo proteins.

bioinformatics↗

bioRxiv2025

Challenges in predicting protein-protein interactions of understudied viruses: Arenavirus-Human interactions

Understanding protein-protein interactions (PPIs) between viruses and human proteins is crucial for uncovering infection mechanisms and identifying potential therapeutic targets. The ability to generalize PPI predictive models across understudied viruses presents a significant challenge. In this work, we use arenavirus-human PPIs to illustrate the difficulties associated with model generalization, which are compounded by a lack of both positive and negative data. We employ a Transfer Learning approach to investigate arenavirus-human PPI by utilizing models trained on better-studied virus-human and human-human interactions. Additionally, we curate and assess four types of negative sampling datasets to evaluate their impact on model performance. Despite the overall high accuracies (93-99%) and AUPRC scores (0.8-0.9) appearing promising, further analysis indicates that these performance metrics can be misleading due to data leakage, data bias, and overfitting, especially concerning under-represented viral proteins. We reveal these gaps and assess the impact of data imbalance through standard k-fold cross-validation and Independent Blind Testing with a Balanced Dataset, leading to a drop in accuracy below 50%. We propose a viral protein-specific evaluation framework that groups viral proteins into majority and minority classes based on their representation in the dataset, allowing for comparison of model performance across these groups using balanced accuracies. This framework offers a more robust evaluation of model generalizability, addressing biases inherent in standard evaluation techniques and paving the way for more reliable PPI prediction models for understudied viruses.

bioinformatics↗

bioRxiv2025

Allosteric Control and Glycan Shielding Adaptations in the SARS-CoV-2 Spike from Early to Peak Virulence

The SARS-CoV-2 Spike glycoprotein is central to viral infectivity and immune evasion, making it a key target for vaccine and therapeutic design. This trimeric peplomer undergoes dynamic conformational changes, particularly in its Receptor Binding Domain (RBD), which transitions between closed (down) and ACE2-accessible (up) states relative to the rest of the protein, to facilitate host cell entry. Structural understanding of such critical inter-domain motions, as well as epitope exposure quantification, is essential for obtaining an effective molecular handle over this protein and, in turn, exploiting it towards improved immunogen development. Focusing on the early circulating D614G form and the later emerging Delta (B.1.617.2) variant with higher virulence, we performed large-scale molecular dynamics simulations of the soluble form of the Spike in both down and up conformations of the RBD. Guided by differences in overall fluctuations, we described reaction coordinates based on domain rotations and tilting to extract features that distinguish D614G versus Delta structural behavior of the N-terminal Domain (NTD) and RBD. Using reaction coordinate analysis and Principal Component Analysis (PCA), we identify allosteric coupling between the N-terminal Domain (NTD) and RBD, where NTD tilting influences RBD gating. While some of these motions are conserved across variants, Delta exhibits an optimized RBD-gating mechanism that enhances ACE2 accessibility. Additionally, glycan remodeling in Delta enhances shielding at the NTD supersite, contributing to reduced sensitivity to neutralizing antibodies. Finally, we uncover the impact of the D950N mutation in the HR1 region, which modulates downstream Spike dynamics and immune evasion. Together, our findings reveal variant-specific and conserved structural determinants of SARS-CoV-2 Spike function, providing a mechanistic basis for allosteric modulation, glycan-mediated immune evasion, and viral adaptation. These insights offer valuable guidance for rational vaccine and therapeutic design against SARS-CoV-2 and emerging variants.

biophysics↗

bioRxiv2025

Iterative Multiscale Molecular Dynamics: Accelerating Conformational Sampling of Biomolecular Systems by Iterating All-Atom and Coarse-Grained Molecular Dynamics Simulations

All-atom molecular dynamics (AA MD) simulations remain the gold standard for simulating biomolecular dynamics at an atomistic level for decades. However, they often cannot attain the time scales required to sufficiently sample the many biological processes of interest, especially those that involve large biomolecular systems with high energy barriers. Here, we combine the strengths of all-atom (AA) and coarse-grained (CG) MD simulations to develop the iterative multiscale MD (iMMD) simulation workflow in OpenMM by iterating between AA and CG MD simulations to enhance the sampling of biomolecular conformations. The AA-CG-AA iterations are repeated over multiple cycles, facilitating the accelerated sampling of biomolecular conformations at a CG level, while the finer atomistic interactions are refined with AA simulators. We demonstrate the enhanced sampling ability of iMMD over multiple AA-CG-AA iterations on four representative systems, including two globular proteins (fast-folding variant of Trpcage and Z-matrix protein of Mammarenavirus lassaense (LASV)) and two membrane proteins (Torpedo nicotinic acetylcholine receptor (nAChR) and REGN7663 Fab binding to the CXCR4 receptors in a heterogeneous cholesterol/phosphatidylcholine membrane lipid bilayer). In particular, iMMD captures the folding of the fast-folding Trpcage and Z-protein of LASV starting from their extended conformations as well as the binding of the REGN7663 Fab binding to the CXCR4s and dimerization of the CXCR4 receptors within the heterogenous membrane, within few AA-CG-AA iterations. The development of iMMD should allow for unprecedented simulations of biomolecules at much longer biological timescales to explore the biological processes of interest.

biophysics↗

bioRxiv2024

Anti-HIV-1 B cell antigen receptor signaling and structure

The B cell antigen receptor (BCR) complex, comprised of antigen recognition and signaling components, functions in initiating B cell activation. While structural studies have described BCR domain organization, gaps remain in our understanding of its antigen binding domain (Fab, fragment antigen-binding) disposition, and how antigen binding is sensed to initiate signaling. Here, we report antigen affinity and signaling of the immunoglobulin (Ig) class IgM and IgG BCRs and define conformational states of full-length BCRs of two human broadly neutralizing antibodies, the glycan-specific, heavy chain domain-swapped, I-shaped 2G12, and a canonical Y-shaped antibody, CH31, that recognizes the CD4-binding site on the HIV-1 Envelope protein (Env). The BCRs adopted the shapes (I or Y) of their respective soluble antibodies, and both Ig class of BCRs of the same specificity bound Env trimers with similar affinities. We observed antigen-valenc y dependent differential signaling by the 2G12 IgM and IgG BCRs with trimeric Envs. Cryo-electron microscopy of the 2G12 IgG and CH31 IgM BCRs revealed varied Fab orientations. Structural comparisons revealed hinge points and regions of flexibility in the BCRs suggesting a highly dynamic structure of the BCR complex. Taken together, our results provide an integrated understanding of BCR structure, conformation, antigen recognition and signaling, and provide the basis for understanding antigen induced BCR signal transmission. One Sentence SummaryCryo-electron microscopy structures of full-length B cell antigen receptor complex provide a novel dynamic BCR model and a basis for understanding antigen binding induced signal transmission.

immunology↗

bioRxiv2024

Insertion and Anchoring of HIV-1 Fusion Peptide into Complex Membrane Mimicking Human T-cell

A fundamental understanding of how HIV-1 envelope (Env) protein facilitates fusion is still lacking. The HIV-1 fusion peptide, consisting of 15 to 22 residues, is the N-terminus of the gp41 subunit of the Env protein. Further, this peptide, a promising vaccine candidate, initiates viral entry into target cells by inserting and anchoring into human immune cells. The influence of membrane lipid reorganization and the conformational changes of the fusion peptide during the membrane insertion and anchoring processes, which can significantly affect HIV-1 cell entry, remains largely unexplored due to the limitations of experimental measurements. In this work, we investigate the insertion of the fusion peptide into an immune cell membrane mimic through multiscale molecular dynamics simulations. We mimic the native T-cell by constructing a 9-lipid asymmetric membrane, along with geometrical restraints accounting for insertion in the context of gp41. To account for the slow timescale of lipid mixing while enabling conformational changes, we implement a protocol to go back and forth between atomistic and coarse-grained simulations. Our study provides a molecular understanding of the interactions between the HIV-1 fusion peptide and the T-cell membrane, highlighting the importance of conformational flexibility of fusion peptides and local lipid reorganization in stabilizing the anchoring of gp41 into the targeted host membrane during the early events of HIV-1 cell entry. Importantly, we identify a motif within the fusion peptide critical for fusion that can be further manipulated in future immunological studies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/606381v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@d80eedorg.highwire.dtl.DTLVardef@bc2482org.highwire.dtl.DTLVardef@f715org.highwire.dtl.DTLVardef@15dba11_HPS_FORMAT_FIGEXP M_FIG Table of Content. C_FIG

biophysics↗

bioRxiv2024

Dynamics and Activation of Membrane-Bound B Cell Receptor Assembly

B-cell receptor complexes (BCR) are expressed on the surface of a B-cell and are critical in antigen recognition and modulating the adaptive immune response. Even though the relevance of antibodies has been known for almost a hundred years, the antigen-dependent activation mechanism of B-cells has remained elusive. Several models have been proposed for BCR activation, including cross-linking, conformation-induced oligomerization, and dissociation activation models. Recently, the first cryo-EM structures of the human B-cell antigen receptor of the IgM and IgG isotypes were published that validated the asymmetric organization of the BCR complex. Here, we have carried out extensive molecular dynamics simulations to probe the conformational changes upon antigen binding and the influence of the membrane lipids. We identified two critical dynamical events that could be associated with antigen-dependent activation of BCR. First, antigen binding caused increased flexibility in regions distal to the antigen binding site. Second, antigen binding altered the rearrangement of IgM transmembrane helices, including the relative interaction of Ig/Ig{beta} that mediates intracellular signaling. Furthermore, these transmembrane rearrangements led to changes in localized lipid composition.

biophysics↗

bioRxiv2024

Quantification of heterogeneity in human CD8+ T cell responses to vaccine antigens: an HLA-guided perspective

Vaccines have historically played a pivotal role in controlling epidemics. Effective vaccines for viruses causing significant human disease, e.g., Ebola, Lassa fever, or Crimean Congo hemorrhagic fever virus, would be invaluable to public health strategies and counter-measure development missions. Here, we propose coverage metrics to quantify vaccine-induced CD8+T cell-mediated immune protection, as well as metrics to characterize immuno-dominant epitopes, in light of human genetic heterogeneity and viral evolution. Proof-of-principle of our approach and methods will be demonstrated for Ebola virus, SARS-CoV-2, and Burkholderia pseudomallei (vaccine) proteins.

immunology↗

bioRxiv2024

Diverse toxins exhibit a common binding mode to the Nicotinic Acetylcholine Receptors revealing a new molecular determinant

Nicotinic acetylcholine receptors (nAChRs) are critical ligand-gated ion channels in the human nervous system. They are targets for various neurotoxins produced by algae, plants, and animals. While there have been many structures of nAChRs bound by neurotoxins published, the binding mechanism of toxins to the nAChRs remains uncleared. In this work, we have performed extensive Gaussian accelerated molecular dynamics simulations on several Aplysia californica (AC) nAChRs in complex with -conotoxins, strychnine, and pinnatoxins, as well as human nAChRs in complex with -bungarotoxin and -conotoxin for a total of 60 s of simulation time to determine the binding and dissociation pathways of the toxins to the nAChRs and the associated effects. We uncovered two common binding and dissociation pathways shared by toxins and nAChRs. In the primary binding pathway, the toxins diffused from the bulk solvent to first bind a region near the extracellular pore before moving downwards along the nAChRs to the nAChR orthosteric pocket. The second binding pathway involved a direct diffusion of the toxins from the bulk solvent into the nAChR orthosteric pocket. The dissociation pathways were the reverse of the observed binding pathways. We also found that the toxins enacted their toxicity upon binding by restricting the necessary movements required by the nAChRs to open their extracellular and intracellular pores for the ions to pass through. Notably, the electrostatically bipolar interactions between nAChR orthosteric pocket and toxins provides a molecular level explanation for the common binding mode shared by diverse toxins and serve as a key determinant for toxicity.

biophysics↗

bioRxiv2023

Predicting Permeation of Compounds across the Outer Membrane of P. aeruginosa Using Molecular Descriptors: Advantages and Limitations

The ability of Gram-negative pathogens to adapt and protect themselves against antibiotics is a growing threat to public health. The low permeability of the outer membrane (OM) in combination with effective multidrug efflux pumps, constitute the two main antibiotic resistance mechanisms. Though much efforts have been devoted to discover new antibiotics that can bypass these defense mechanisms, no new antibiotic classes have been introduced into clinics in the last 35 years. Models that identify specific descriptors of molecular properties and predict the likelihood that a given compound is capable of successfully permeate the OM and inhibit bacterial growth while avoiding efflux could facilitate the discovery of novel classes of antibiotics. Here we evaluate 174 molecular descriptors of 1260 antimicrobial compounds and study their correlations with antibacterial activity in Gram-negative Pseudomonas aeruginosa. While part of these descriptors are computed using traditional approaches based on the physicochemical properties intrinsic to the compounds, ensemble docking and all-atom molecular dynamics (MD) simulations are used to derive additional bacterium-specific mechanistic properties. Descriptors of compound permeation across the OM were calculated using all-atom MD simulations of the compounds in different subregions of the OM model. Descriptors of interactions with efflux pumps were calculated from ensemble docking of compounds targeting specific binding pockets of MexB, the major efflux transporter of P. aeruginosa. Using these descriptors and the measured antibacterial inhibitory concentrations of compounds, we design and implement a statistical protocol to identify a subset of the molecular properties that are predictive of whether a given compound is a strong or weak permeator across the Gram-negative OM. Our results indicate that 88.4% of the compounds that show measurable antibacterial activity, follow very consistent rules of permeation, which highlight the critical role that the interaction between the compound and the OM have at predicting permeation. The remaining 11.6% of the compounds, although less predictive, are characterized by distinctive structural markers that can be used to minimize classification errors. An implementation of the permeation rules and the structural markers uncovered in our study is shown, and it demonstrates the accuracy of our approach in a set of previously unseen compounds. Taken together, our analysis sheds new light on the key molecular properties that drug candidates should have in order to be effective at OM permeation/inhibition of P. aeruginosa, and opens the gate to similar data-driven studies in other Gram-negative pathogens.

biophysics↗

bioRxiv2022

Inferring pathways of oxidative folding from pre-folding free energy landscapes of disulfide-rich toxin

Short, cysteine-rich peptides can exist in stable or metastable structural ensembles due to the number of possible patterns of formation of their disulfide bonds. One interesting subset of this peptide group is the coonotoxins, which are produced by aquatic snails in the family Conidae. The {micro} conotoxins, which are antagonists and blockers of the voltage-gated sodium channel, exist in a folding spectrum: on one end of the spectrum are more hirudin-like folders, which form disulfide bonds and then reshuffle them, leading to an ensemble of kinetically trapped isomers-and on the other end are more BPTI-like folders-which form the native disulfide bonds one by one in a particular order, leading to a preponderance of conformations existing in a single stable state. In this article, we employ the composite diffusion map approach to study the unified free energy surface of pre-folding {micro}-conotoxin equilibrium. We identify the two most important nonlinear collective modes of the unified folding landscape and demonstrate that in the absence of their disulfides, the conotoxins can be thought of as largely disordered polymers. A small increase in the number of hydrophobic residues in the protein shifts the free energy landscape towards hydrophobically collapsed coil conformations responsible for cysteine proximity in hirudin-like folders, compared to semi-extended coil conformations with more distal cysteines in BPTI-like folders. Overall, this work sheds important light on the folding processes and free energy landscapes of cysteinerich peptides and demonstrates the extent to which sequence and length contribute to these landscapes.

biophysics↗

bioRxiv2021

Molecular insights into antibody-mediated protection against the prototypic simian immunodeficiency virus

SIVmac239 infection of macaques is a favored model of human HIV infection. However, the SIVmac239 envelope (Env) trimer structure, glycan occupancy, and the targets and ability of neutralizing antibodies (nAbs) to protect against SIVmac239 remain unknown. Here, we report the isolation of SIVmac239 nAbs that recognize a glycan hole and the V1/V4 loop. A high-resolution structure of a SIVmac239 Env trimer-nAb complex shows many similarities to HIV and SIVcpz Envs, but with distinct V4 features and an extended V1 loop. Moreover, SIVmac239 Env has a higher glycan shield density than HIV Env that may contribute to poor or delayed nAb responses in SIVmac239-infected macaques. Passive transfer of a nAb protects macaques from repeated low dose intraveneous SIVmac239 challenge at serum titers comparable to those described for protection of humans against HIV infection. Our results provide structural insights for vaccine design and shed light on antibody-mediated protection in the SIV model.

immunology↗

bioRxiv2021

Network analysis outlines strengths and weaknesses of emerging SARS-CoV-2 Spike variants

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has triggered myriad efforts to dissect and understand the structure and dynamics of this complex pathogen. The Spike glycoprotein of SARS-CoV-2 has received special attention as it is the means by which the virus enters the human host cells. The N-terminal domain (NTD) is one of the targeted regions of the Spike protein for therapeutics and neutralizing antibodies against COVID-19. Though its function is not well-understood, the NTD is reported to acquire mutations and deletions that can accelerate the evolutionary adaptation of the virus driving antibody escape. Cellular processes are known to be regulated by complex interactions at the molecular level, which can be characterized by means of a graph representation facilitating the identification of key residues and critical communication pathways within the molecular complex. From extensive all-atom molecular dynamics simulations of the entire Spike for the wild-type and the dominant variant, we derive a weighted graph representation of the protein in two dominant conformations of the receptor-binding-domain; all-down and one-up. We implement graph theory techniques to characterize the relevance of specific residues at facilitating roles of communication and control, while uncovering key implications for fitness and adaptation. We find that many of the reported high-frequency mutations tend to occur away from the critical residues highlighted by our graph theory analysis, implying that these mutations tend to avoid targeting residues that are most critical for protein allosteric communication. We propose that these critical residues could be candidate targets for novel antibody therapeutics. In addition, our analysis provides quantitative insights of the critical role of the NTD and furin cleavage site and their wide-reaching influence over the protein at large. Many of our conclusions are supported by empirical evidence while others point the way towards crucial simulation-guided experiments.

molecular biology↗

bioRxiv2021

Exploring the role of glycans in the interaction of SARS-CoV-2 RBD and human receptor ACE2

COVID-19 is a highly infectious respiratory disease caused by the novel coronavirus SARS-CoV-2. It has become a global pandemic and its frequent mutations may pose new challenges for vaccine design. During viral infection, the Spike RBD of SARS-CoV-2 binds the human host cell receptor ACE2, enabling the virus to enter the host cell. Both the Spike and ACE2 are densely glycosylated, and it is unclear how distinctive glycan types may modulate the interaction of RBD and ACE2. Detailed understanding of these determinants is key for the development of novel therapeutic strategies. To this end, we perform extensive all-atom simulations of the (i) RBD-ACE2 complex without glycans, (ii) RBD-ACE2 with oligomannose MAN9 glycans in ACE2, and (iii) RBD-ACE2 with complex FA2 glycans in ACE2. These simulations identify the key residues at the RBD-ACE2 interface that form contacts with higher probabilities, thus providing a quantitative evaluation that complements recent structural studies. Notably, we find that this RBD-ACE2 contact signature is not altered by the presence of different glycoforms, suggesting that RBD-ACE2 interaction is robust. Applying our simulated results, we illustrate how the recently prevalent N501Y mutation may alter specific interactions with host ACE2 that facilitate the virus-host binding. Furthermore, our simulations reveal how the glycan on Asn90 of ACE2 can play a distinct role in the binding and unbinding of RBD. Finally, an energetics analysis shows that MAN9 glycans on ACE2 decrease RBD-ACE2 affinity, while FA2 glycans lead to enhanced binding of the complex. Together, our results provide a more comprehensive picture of the detailed interplay between virus and human receptor, which is much needed for the discovery of effective treatments that aim at modulating the physical-chemical properties of this virus.

biophysics↗