Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants

The SARS-CoV-2 pandemic highlights the need for a detailed molecular understanding of protective antibody responses. This is underscored by the emergence and spread of SARS-CoV-2 variants, including Alpha (B.1.1.7) and Delta (B.1.617.2), some of which appear to be less effectively targeted by current monoclonal antibodies and vaccines. Here we report a high resolution and comprehensive map of antibody recognition of the SARS-CoV-2 spike receptor binding domain (RBD), which is the target of most neutralizing antibodies, using computational structural analysis. With a dataset of nonredundant experimentally determined antibody-RBD structures, we classified antibodies by RBD residue binding determinants using unsupervised clustering. We also identified the energetic and conservation features of epitope residues and assessed the capacity of viral variant mutations to disrupt antibody recognition, revealing sets of antibodies predicted to effectively target recently described viral variants. This detailed structure-based reference of antibody RBD recognition signatures can inform therapeutic and vaccine design strategies.

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Structural and energetic profiling of SARS-CoV-2 antibody recognition and the impact of circulating variants

10.1101/2021.03.21.436311 ◽

2021 ◽

Author(s):

Rui Yin ◽

Johnathan D Guest ◽

Ghazaleh Taherzadeh ◽

Ragul Gowthaman ◽

Ipsa Mittra ◽

...

Keyword(s):

Monoclonal Antibodies ◽

Neutralizing Antibodies ◽

Antibody Responses ◽

Receptor Binding Domain ◽

Design Strategies ◽

Detailed Structure ◽

Viral Variant ◽

Antibody Recognition ◽

The Impact ◽

Binding Determinants

The SARS-CoV-2 pandemic highlights the need for a detailed molecular understanding of protective antibody responses. This is underscored by the emergence and spread of SARS-CoV-2 variants, including B.1.1.7, P1, and B.1.351, some of which appear to be less effectively targeted by current monoclonal antibodies and vaccines. Here we report a high resolution and comprehensive map of antibody recognition of the SARS-CoV-2 spike receptor binding domain (RBD), which is the target of most neutralizing antibodies, using computational structural analysis. With a dataset of nonredundant experimentally determined antibody-RBD structures, we classified antibodies by RBD residue binding determinants using unsupervised clustering. We also identified the energetic and conservation features of epitope residues and assessed the capacity of viral variant mutations to disrupt antibody recognition, revealing sets of antibodies predicted to effectively target recently described viral variants. This detailed structure-based reference of antibody RBD recognition signatures can inform therapeutic and vaccine design strategies.

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Computational Prediction of the Epitopes of HA1 Protein of Influenza Viruses to its Neutralizing Antibodies

Antibodies ◽

10.3390/antib8010002 ◽

2018 ◽

Vol 8 (1) ◽

pp. 2

Author(s):

Xiaoyan Zeng ◽

Fiona Legge ◽

Chao Huang ◽

Xiao Zhang ◽

Yongjun Jiao ◽

...

Keyword(s):

Influenza Virus ◽

Crystal Structures ◽

Receptor Binding ◽

Neutralizing Antibodies ◽

Computational Prediction ◽

Binding Domain ◽

Influenza Viruses ◽

New Method ◽

Receptor Binding Domain ◽

Antibody Recognition

In this work, we have used a new method to predict the epitopes of HA1 protein of influenza virus to several antibodies HC19, CR9114, BH151 and 4F5. While our results reproduced the binding epitopes of H3N2 or H5N1 for the neutralizing antibodies HC19, CR9114, and BH151 as revealed from the available crystal structures, additional epitopes for these antibodies were also suggested. Moreover, the predicted epitopes of H5N1 HA1 for the newly developed antibody 4F5 are located at the receptor binding domain, while previous study identified a region 76-WLLGNP-81 as the epitope. The possibility of antibody recognition of influenza virus via different mechanism by binding to different epitopes of an antigen is also discussed.

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Epistasis at the SARS-CoV-2 RBD Interface and the Propitiously Boring Implications for Vaccine Escape

10.1101/2021.08.30.458225 ◽

2021 ◽

Cited By ~ 1

Author(s):

Nash D. Rochman ◽

Guilhem Faure ◽

Yuri I. Wolf ◽

Peter L. Freddolino ◽

Feng Zhang ◽

...

Keyword(s):

Receptor Binding ◽

Neutralizing Antibodies ◽

Binding Domain ◽

Receptor Binding Domain ◽

Wild Type ◽

Protein Structure Modeling ◽

Escape Mutants ◽

Small Set ◽

Global Concern ◽

The Impact

AbstractAt the time of this writing, August 2021, potential emergence of vaccine escape variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a grave global concern. The interface between the receptor-binding domain (RBD) of SARS-CoV-2 spike (S) protein and the host receptor (ACE2) overlap with the binding site of principal neutralizing antibodies (NAb), limiting the repertoire of viable mutations. Nonetheless, variants with multiple mutations in the RBD have rose to dominance. Non-additive, epistatic relationships among RBD mutations are apparent, and assessing the impact of such epistasis on the mutational landscape is crucial. Epistasis can substantially increase the risk of vaccine escape and cannot be completely characterized through the study of the wild type (WT) alone. We employed protein structure modeling using Rosetta to compare the effects of all single mutants at the RBD-NAb and RBD-ACE2 interfaces for the WT, Gamma (417T, 484K, 501Y), and Delta variants (452R, 478K). Overall, epistasis at the RBD surface appears to be limited and the effects of most multiple mutations are additive. Epistasis at the Delta variant interface weakly stabilizes NAb interaction relative to ACE2, whereas in the Gamma variant, epistasis more substantially destabilizes NAb interaction. These results suggest that the repertoire of potential escape mutations for the Delta variant is not substantially different from that of the WT, whereas Gamma poses a moderately greater risk for enhanced vaccine escape. Thus, the modest ensemble of mutations relative to the WT shown to reduce vaccine efficacy might constitute the majority of all possible escape mutations.SignificancePotential emergence of vaccine escape variants of SARS-CoV-2 is arguably the most pressing problem during the COVID-19 pandemic as vaccines are distributed worldwide. We employed a computational approach to assess the risk of antibody escape resulting from mutations in the receptor-binding domain of the spike protein of the wild type SARS-CoV-2 virus as well as the Gamma and Delta variants. The results indicate that emergence of escape mutants is somewhat less likely for the Delta variant than for the wild type and moderately more likely for the Gamma variant. We conclude that the small set of escape-enhancing mutations already identified for the wild type is likely to include the majority of all possible mutations with this effect, a welcome finding.

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The impact of receptor-binding domain natural mutations on antibody recognition of SARS-CoV-2

Signal Transduction and Targeted Therapy ◽

10.1038/s41392-021-00536-0 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Cheng Li ◽

Xiaolong Tian ◽

Xiaodong Jia ◽

Jinkai Wan ◽

Lu Lu ◽

...

Keyword(s):

Receptor Binding ◽

Binding Domain ◽

Receptor Binding Domain ◽

Antibody Recognition ◽

The Impact

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Stereotypic neutralizing VH antibodies against SARS-CoV-2 spike protein receptor binding domain in COVID-19 patients and healthy individuals

Science Translational Medicine ◽

10.1126/scitranslmed.abd6990 ◽

2021 ◽

pp. eabd6990

Author(s):

Sang Il Kim ◽

Jinsung Noh ◽

Sujeong Kim ◽

Younggeun Choi ◽

Duck Kyun Yoo ◽

...

Keyword(s):

B Cells ◽

Receptor Binding ◽

Neutralizing Antibodies ◽

De Novo ◽

Binding Domain ◽

Host Cells ◽

Spike Protein ◽

Receptor Binding Domain ◽

Healthy Individuals

Stereotypic antibody clonotypes exist in healthy individuals and may provide protective immunity against viral infections by neutralization. We observed that 13 out of 17 patients with COVID-19 had stereotypic variable heavy chain (VH) antibody clonotypes directed against the receptor-binding domain (RBD) of SARS-CoV-2 spike protein. These antibody clonotypes were comprised of immunoglobulin heavy variable (IGHV)3-53 or IGHV3-66 and immunoglobulin heavy joining (IGHJ)6 genes. These clonotypes included IgM, IgG3, IgG1, IgA1, IgG2, and IgA2 subtypes and had minimal somatic mutations, which suggested swift class switching after SARS-CoV-2 infection. The different immunoglobulin heavy variable chains were paired with diverse light chains resulting in binding to the RBD of SARS-CoV-2 spike protein. Human antibodies specific for the RBD can neutralize SARS-CoV-2 by inhibiting entry into host cells. We observed that one of these stereotypic neutralizing antibodies could inhibit viral replication in vitro using a clinical isolate of SARS-CoV-2. We also found that these VH clonotypes existed in six out of 10 healthy individuals, with IgM isotypes predominating. These findings suggest that stereotypic clonotypes can develop de novo from naïve B cells and not from memory B cells established from prior exposure to similar viruses. The expeditious and stereotypic expansion of these clonotypes may have occurred in patients infected with SARS-CoV-2 because they were already present.

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Design of a companion bioinformatic tool to detect the emergence and geographical distribution of SARS-CoV-2 Spike protein genetic variants

Journal of Translational Medicine ◽

10.1186/s12967-020-02675-4 ◽

2020 ◽

Vol 18 (1) ◽

Author(s):

Alice Massacci ◽

Eleonora Sperandio ◽

Lorenzo D’Ambrosio ◽

Mariano Maffei ◽

Fabio Palombo ◽

...

Keyword(s):

Receptor Binding ◽

Consensus Sequence ◽

Cell Epitope ◽

Vaccine Design ◽

Binding Domain ◽

Spike Protein ◽

Antibody Activity ◽

Binding Motif ◽

Receptor Binding Domain ◽

The Impact

Abstract Background Tracking the genetic variability of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) is a crucial challenge. Mainly to identify target sequences in order to generate robust vaccines and neutralizing monoclonal antibodies, but also to track viral genetic temporal and geographic evolution and to mine for variants associated with reduced or increased disease severity. Several online tools and bioinformatic phylogenetic analyses have been released, but the main interest lies in the Spike protein, which is the pivotal element of current vaccine design, and in the Receptor Binding Domain, that accounts for most of the neutralizing the antibody activity. Methods Here, we present an open-source bioinformatic protocol, and a web portal focused on SARS-CoV-2 single mutations and minimal consensus sequence building as a companion vaccine design tool. Furthermore, we provide immunogenomic analyses to understand the impact of the most frequent RBD variations. Results Results on the whole GISAID sequence dataset at the time of the writing (October 2020) reveals an emerging mutation, S477N, located on the central part of the Spike protein Receptor Binding Domain, the Receptor Binding Motif. Immunogenomic analyses revealed some variation in mutated epitope MHC compatibility, T-cell recognition, and B-cell epitope probability for most frequent human HLAs. Conclusions This work provides a framework able to track down SARS-CoV-2 genomic variability.

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mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection

Science ◽

10.1126/science.abg9175 ◽

2021 ◽

pp. eabg9175 ◽

Cited By ~ 6

Author(s):

Leonidas Stamatatos ◽

Julie Czartoski ◽

Yu-Hsin Wan ◽

Leah J. Homad ◽

Vanessa Rubin ◽

...

Keyword(s):

Receptor Binding ◽

Neutralizing Antibodies ◽

Binding Domain ◽

Receptor Binding Domain ◽

Previous Infection

Emerging SARS-CoV-2 variants have raised concerns about resistance to neutralizing antibodies elicited by previous infection or vaccination. We examined whether sera from recovered and naïve donors collected prior to, and following immunizations with existing mRNA vaccines, could neutralize the Wuhan-Hu-1 and B.1.351 variants. Pre-vaccination sera from recovered donors neutralized Wuhan-Hu-1 and sporadically neutralized B.1.351, but a single immunization boosted neutralizing titers against all variants and SARS-CoV-1 by up to 1000-fold. Neutralization was due to antibodies targeting the receptor binding domain and was not boosted by a second immunization. Immunization of naïve donors also elicited cross-neutralizing responses, but at lower titers. Our study highlights the importance of vaccinating both uninfected and previously infected persons to elicit cross-variant neutralizing antibodies.

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The Impact on Infectivity and Neutralization Efficiency of SARS-CoV-2 Lineage B.1.351 Pseudovirus

Viruses ◽

10.3390/v13040633 ◽

2021 ◽

Vol 13 (4) ◽

pp. 633

Author(s):

Yeong Jun Kim ◽

Ui Soon Jang ◽

Sandrine M. Soh ◽

Joo-Youn Lee ◽

Hye-Ra Lee

Keyword(s):

South Africa ◽

Monoclonal Antibodies ◽

Cell Fusion ◽

Receptor Binding ◽

Neutralizing Antibodies ◽

Receptor Binding Domain ◽

Viral Spread ◽

New Variant ◽

Global Concern ◽

The Impact

A new variant of SARS-CoV-2 B.1.351 lineage (first found in South Africa) has been raising global concern due to its harboring of multiple mutations in the spike that potentially increase transmissibility and yield resistance to neutralizing antibodies. We here tested infectivity and neutralization efficiency of SARS-CoV-2 spike pseudoviruses bearing particular mutations of the receptor-binding domain (RBD) derived either from the Wuhan strains (referred to as D614G or with other sites) or the B.1.351 lineage (referred to as N501Y, K417N, and E484K). The three different pseudoviruses B.1.351 lineage related significantly increased infectivity compared with other mutants that indicated Wuhan strains. Interestingly, K417N and E484K mutations dramatically enhanced cell–cell fusion than N501Y even though their infectivity were similar, suggesting that K417N and E484K mutations harboring SARS-CoV-2 variant might be more transmissible than N501Y mutation containing SARS-CoV-2 variant. We also investigated the efficacy of two different monoclonal antibodies, Casirivimab and Imdevimab that neutralized SARS-CoV-2, against several kinds of pseudoviruses which indicated Wuhan or B.1.351 lineage. Remarkably, Imdevimab effectively neutralized B.1.351 lineage pseudoviruses containing N501Y, K417N, and E484K mutations, while Casirivimab partially affected them. Overall, our results underscore the importance of B.1.351 lineage SARS-CoV-2 in the viral spread and its implication for antibody efficacy.

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