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

被引:2
作者
Zhou, Wenyang [1 ]
Xu, Chang [1 ]
Luo, Meng [1 ]
Wang, Pingping [1 ]
Xu, Zhaochun [1 ]
Xue, Guangfu [1 ]
Jin, Xiyun [1 ]
Huang, Yan [1 ]
Li, Yiqun [1 ]
Nie, Huan [1 ]
Jiang, Qinghua [1 ]
Anashkina, Anastasia A. [2 ]
机构
[1] Harbin Inst Technol, Sch Life Sci & Technol, Harbin 150000, Peoples R China
[2] Russian Acad Sci, Engelhardt Inst Mol Biol, Moscow, Russia
基金
中国国家自然科学基金;
关键词
SARS-CoV-2; Spike protein; Mutation; Infectivity; Antigenicity; HIGH-THROUGHPUT; ANTIBODIES; SIMULATION;
D O I
10.1016/j.compbiomed.2022.105509
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:7
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