4.7 Review

Towards Quantum-Chemical Level Calculations of SARS-CoV-2 Spike Protein Variants of Concern by First Principles Density Functional Theory

Journal

BIOMEDICINES
Volume 11, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/biomedicines11020517

Keywords

variants of concern; spike protein; RBD-ACE2 interface; mutational effect; atomic scale electronic structure; AABPU; partial charge; hydrogen bonding

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In this review, the authors use density functional theory calculations to analyze the atomic-scale interactions and consequences of mutations in the spike protein of SARS-CoV-2. They provide a detailed description of the key amino acids and functions of each domain and speculate on how mutations affect these properties. The results show that S-protein mutations in different variants cause increased positive charge, altered interatomic interactions, and disrupted hydrogen bond networks.
The spike protein (S-protein) is a crucial part of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with its many domains responsible for binding, fusion, and host cell entry. In this review we use the density functional theory (DFT) calculations to analyze the atomic-scale interactions and investigate the consequences of mutations in S-protein domains. We specifically describe the key amino acids and functions of each domain, which are essential for structural stability as well as recognition and fusion processes with the host cell; in addition, we speculate on how mutations affect these properties. Such unprecedented large-scale ab initio calculations, with up to 5000 atoms in the system, are based on the novel concept of amino acid-amino acid-bond pair unit (AABPU) that allows for an alternative description of proteins, providing valuable information on partial charge, interatomic bonding and hydrogen bond (HB) formation. In general, our results show that the S-protein mutations for different variants foster an increased positive partial charge, alter the interatomic interactions, and disrupt the HB networks. We conclude by outlining a roadmap for future computational research of biomolecular virus-related systems.

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