Dynamic expedition of leading mutations in SARS-CoV-2 spike glycoproteins

The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the recent pandemic, has generated countless new variants with varying fitness. Mutations of the spike glycoprotein play a particularly vital role in shaping its evolutionary trajectory, as they ha...

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Bibliographic Details
Published in:Computational and structural biotechnology journal 2024-12, Vol.23, p.2407-2417
Main Authors: Hasan, Muhammad, He, Zhouyi, Jia, Mengqi, Leung, Alvin C.F., Natarajan, Kathiresan, Xu, Wentao, Yap, Shanqi, Zhou, Feng, Chen, Shihong, Su, Hailei, Zhu, Kaicheng, Su, Haibin
Format: Article
Language:English
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Summary:The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the recent pandemic, has generated countless new variants with varying fitness. Mutations of the spike glycoprotein play a particularly vital role in shaping its evolutionary trajectory, as they have the capability to alter its infectivity and antigenicity. We present a time-resolved statistical method, Dynamic Expedition of Leading Mutations (deLemus), to analyze the evolutionary dynamics of the SARS-CoV-2 spike glycoprotein. The proposed L-index of the deLemus method is effective in quantifying the mutation strength of each amino acid site and outlining evolutionarily significant sites, allowing the comprehensive characterization of the evolutionary mutation pattern of the spike glycoprotein.
ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2024.05.037