MutCov: A pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing an outbreak of coronavirus disease 2019 (COVID-19), is a major threat to public health worldwide. Previous studies have shown that the spike protein of SARS-CoV-2 determines viral infectivity and major antigenicity. However, the s...

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Bibliographic Details
Main Authors: Anashkina, A.A (Author), Huang, Y. (Author), Jiang, Q. (Author), Jin, X. (Author), Li, Y. (Author), Luo, M. (Author), Nie, H. (Author), Wang, P. (Author), Xu, C. (Author), Xu, Z. (Author), Xue, G. (Author), Zhou, W. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02786nam a2200529Ia 4500
001 10.1016-j.compbiomed.2022.105509
008 220425s2022 CNT 000 0 und d
020 |a 00104825 (ISSN) 
245 1 0 |a MutCov: A pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2 
260 0 |b Elsevier Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.compbiomed.2022.105509 
520 3 |a Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing an outbreak of coronavirus disease 2019 (COVID-19), is a major threat to public health worldwide. Previous studies have shown that the spike protein of SARS-CoV-2 determines viral infectivity and major antigenicity. However, the spike protein has been undergoing various mutations, which bring a great challenge to the prevention and treatment of COVID-19. Here we present the MutCov, a pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2 by calculating the binding free energy between spike protein and angiotensin-converting enzyme 2 (ACE2) or neutralizing monoclonal antibody (mAb). The predicted infectivity and antigenicity were highly consistent with biologically experimental results, and demonstrated that the MutCov achieved good prediction performance. In conclusion, the MutCov is of high importance for systematically evaluating the effect of novel mutations and improving the prevention and treatment of COVID-19. The source code and installation instruction of MutCov are freely available at http://jianglab.org.cn/MutCov. © 2022 
650 0 4 |a Angiotensin-converting enzyme 2 
650 0 4 |a Antigenicity 
650 0 4 |a Antigenicity 
650 0 4 |a Antigens 
650 0 4 |a Binding energy 
650 0 4 |a Binding free energy 
650 0 4 |a Coronavirus 
650 0 4 |a Coronaviruses 
650 0 4 |a Free energy 
650 0 4 |a Health risks 
650 0 4 |a Infectivity 
650 0 4 |a Infectivity 
650 0 4 |a Monoclonal antibodies 
650 0 4 |a Mutation 
650 0 4 |a Mutation 
650 0 4 |a Pipelines 
650 0 4 |a SARS-CoV-2 
650 0 4 |a Severe acute respiratory syndrome coronavirus 
650 0 4 |a Severe acute respiratory syndrome coronavirus 2 
650 0 4 |a Spike protein 
650 0 4 |a Spike protein 
650 0 4 |a Viral infectivity 
700 1 |a Anashkina, A.A.  |e author 
700 1 |a Huang, Y.  |e author 
700 1 |a Jiang, Q.  |e author 
700 1 |a Jin, X.  |e author 
700 1 |a Li, Y.  |e author 
700 1 |a Luo, M.  |e author 
700 1 |a Nie, H.  |e author 
700 1 |a Wang, P.  |e author 
700 1 |a Xu, C.  |e author 
700 1 |a Xu, Z.  |e author 
700 1 |a Xue, G.  |e author 
700 1 |a Zhou, W.  |e author 
773 |t Computers in Biology and Medicine