{"title":"SARS-CoV-2 Variants and Bebtelovimab: Immune Escape Mechanisms Revealed by Computational Studies","authors":"Rakesh Kumar Roy, Madhur Sharma, Niladri Patra","doi":"10.1039/d4cp03031a","DOIUrl":null,"url":null,"abstract":"The receptor binding domain (RBD) of SARS-CoV-2 (coronavirus) targets and facilitates the binding with human ACE2 receptor and is also a target for most monoclonal antibodies for the inhibition process. The emerging mutations in the RBD of SARS-Cov-2 are problematic, as their local and non-local effects can disrupt the binding mechanism of the antibody with the coronavirus’s viral protein, thus compromising the antibody’s inhibitory function. In this study, we have employed molecular dynamics to elucidate the binding mechanism between human-derived monoclonal antibody, bebtelovimab, and RBD of the viral spike protein and the effects of mutations on this binding. We have analyzed the unbinding process using Molecular Dynamics with enhanced sampling methods, such as Umbrella sampling. Our findings revealed that certain residues, including 440(N/K), Lys444, 452(L/R), 484(E/A), 498(Q/R), and THR500, are directly or indirectly responsible for altering the binding position and efficacy of bebtelovimab antibody with the RBD when mutations are introduced. The binding energy studies on three different variants, wild-type, Delta, and Omicron, revealed that the binding efficacy of bebtelovimab with the RBD diminished over time as additional mutations were introduced.","PeriodicalId":99,"journal":{"name":"Physical Chemistry Chemical Physics","volume":"81 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Chemistry Chemical Physics","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d4cp03031a","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The receptor binding domain (RBD) of SARS-CoV-2 (coronavirus) targets and facilitates the binding with human ACE2 receptor and is also a target for most monoclonal antibodies for the inhibition process. The emerging mutations in the RBD of SARS-Cov-2 are problematic, as their local and non-local effects can disrupt the binding mechanism of the antibody with the coronavirus’s viral protein, thus compromising the antibody’s inhibitory function. In this study, we have employed molecular dynamics to elucidate the binding mechanism between human-derived monoclonal antibody, bebtelovimab, and RBD of the viral spike protein and the effects of mutations on this binding. We have analyzed the unbinding process using Molecular Dynamics with enhanced sampling methods, such as Umbrella sampling. Our findings revealed that certain residues, including 440(N/K), Lys444, 452(L/R), 484(E/A), 498(Q/R), and THR500, are directly or indirectly responsible for altering the binding position and efficacy of bebtelovimab antibody with the RBD when mutations are introduced. The binding energy studies on three different variants, wild-type, Delta, and Omicron, revealed that the binding efficacy of bebtelovimab with the RBD diminished over time as additional mutations were introduced.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.