Structural analysis of spike proteins from SARS-CoV-2 variants of concern highlighting their functional alterations

Kundan Solanki, Sajjan Rajpoot, Ashutosh Kumar, Kam Y J Zhang, Tomokazu Ohishi, Nik Hirani, Khandu Wadhonkar, Pramod Patidar, Qiuwei Pan*, Mirza S Baig*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
41 Downloads (Pure)

Abstract

Aim: Mutations in the SARS-CoV-2 spike (S) protein have dramatically changed the transmissibility and pathogenicity of the virus. Therefore, we studied the binding affinity of Omicron spike-receptor binding domain (S-RBD) with human ACE2 receptor. Materials & methods: We used pyDockWEB and HADDOCK 2.4 docking for our study. Results: Computational docking indicated higher binding affinity of Omicron S-RBD as compared with wild-type SARS-CoV-2 and Delta S-RBD with ACE2. Interface analysis suggested four mutated residues of Omicron S-RBD for its enhanced binding. We also showed decreased binding affinity of Omicron and Delta S-RBDs with monoclonal antibodies. Conclusion: Compared with wild-type SARS-CoV-2, Omicron S-RBD exhibit higher binding with ACE2 and lower affinity against monoclonal antibodies.

Original languageEnglish
Pages (from-to)723-732
Number of pages10
JournalFuture Virology
Volume17
Issue number10
Early online date2 Aug 2022
DOIs
Publication statusPublished - 1 Oct 2022

Bibliographical note

Financial & competing interests disclosure
This work is supported by Cumulative Professional Development Allowance (CPDA) and Research Development Fund (RDF) from
the Indian Institute of Technology Indore (IITI) to MS Baig. The authors have no other relevant affiliations or financial involvement
with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the
manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.

© 2022 Mirza S Baig.

Funding Information:
This work is supported by Cumulative Professional Development Allowance (CPDA) and Research Development Fund (RDF) from the Indian Institute of Technology Indore (IITI) to MS Baig. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Publisher Copyright:
© 2022 Mirza S Baig.

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