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High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations

SARS-CoV-2 has led to a global pandemic of new crown pneumonia, which has had a tremendous impact on human society. Antibody drug therapy is one of the most effective way of combating SARS-CoV-2. In order to design potential antibody drugs with high affinity, we used antibody S309 from patients with...

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Autores principales: Tian, Zihui, Liu, Hongtao, Zhou, Shuangyan, Xie, Zengyan, Yuan, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820416/
https://www.ncbi.nlm.nih.gov/pubmed/36613923
http://dx.doi.org/10.3390/ijms24010481
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author Tian, Zihui
Liu, Hongtao
Zhou, Shuangyan
Xie, Zengyan
Yuan, Shuai
author_facet Tian, Zihui
Liu, Hongtao
Zhou, Shuangyan
Xie, Zengyan
Yuan, Shuai
author_sort Tian, Zihui
collection PubMed
description SARS-CoV-2 has led to a global pandemic of new crown pneumonia, which has had a tremendous impact on human society. Antibody drug therapy is one of the most effective way of combating SARS-CoV-2. In order to design potential antibody drugs with high affinity, we used antibody S309 from patients with SARS-CoV as the target antibody and RBD of S protein as the target antigen. Systems with RBD glycosylated and non-glycosylated were constructed to study the influence of glycosylation. From the results of molecular dynamics simulations, the steric effects of glycans on the surface of RBD plays a role of “wedge”, which makes the L335-E340 region of RBD close to the CDR3 region of the heavy chain of antibody and increases the contact area between antigen and antibody. By mutating the key residues of antibody at the interaction interface, we found that the binding affinities of antibody mutants G103A, P28W and Y100W were all stronger than that of the wild-type, especially for the G103A mutant. G103A significantly reduces the distance between the binding region of L335-K356 in the antigen and P28-Y32 of heavy chain in the antibody through structural transition. Taken together, the antibody design method described in this work can provide theoretical guidance and a time-saving method for antibody drug design.
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spelling pubmed-98204162023-01-07 High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations Tian, Zihui Liu, Hongtao Zhou, Shuangyan Xie, Zengyan Yuan, Shuai Int J Mol Sci Article SARS-CoV-2 has led to a global pandemic of new crown pneumonia, which has had a tremendous impact on human society. Antibody drug therapy is one of the most effective way of combating SARS-CoV-2. In order to design potential antibody drugs with high affinity, we used antibody S309 from patients with SARS-CoV as the target antibody and RBD of S protein as the target antigen. Systems with RBD glycosylated and non-glycosylated were constructed to study the influence of glycosylation. From the results of molecular dynamics simulations, the steric effects of glycans on the surface of RBD plays a role of “wedge”, which makes the L335-E340 region of RBD close to the CDR3 region of the heavy chain of antibody and increases the contact area between antigen and antibody. By mutating the key residues of antibody at the interaction interface, we found that the binding affinities of antibody mutants G103A, P28W and Y100W were all stronger than that of the wild-type, especially for the G103A mutant. G103A significantly reduces the distance between the binding region of L335-K356 in the antigen and P28-Y32 of heavy chain in the antibody through structural transition. Taken together, the antibody design method described in this work can provide theoretical guidance and a time-saving method for antibody drug design. MDPI 2022-12-28 /pmc/articles/PMC9820416/ /pubmed/36613923 http://dx.doi.org/10.3390/ijms24010481 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tian, Zihui
Liu, Hongtao
Zhou, Shuangyan
Xie, Zengyan
Yuan, Shuai
High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title_full High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title_fullStr High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title_full_unstemmed High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title_short High-Affinity Antibodies Designing of SARS-CoV-2 Based on Molecular Dynamics Simulations
title_sort high-affinity antibodies designing of sars-cov-2 based on molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820416/
https://www.ncbi.nlm.nih.gov/pubmed/36613923
http://dx.doi.org/10.3390/ijms24010481
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