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Evolutionary and structural analysis elucidates mutations on SARS-CoV2 spike protein with altered human ACE2 binding affinity.

ABSTRACT: The recognition of ACE2 by the receptor-binding domain (RBD) of spike protein mediates host cell entry. The objective of the work is to identify SARS-CoV2 spike variants that emerged during the pandemic and evaluate their binding affinity with ACE2. Evolutionary analysis of 2178 SARS-CoV2 genomes identifies RBD variants that are under selection bias. The binding efficacy of these RBD variants to the ACE2 has been analyzed by using protein-protein docking and binding free energy calculations. Pan-proteomic analysis reveals 113 mutations among them 33 are parsimonious. Evolutionary analysis reveals five RBD variants A348T, V367F, G476S, V483A, and S494P are under strong positive selection bias. Variations at these sites alter the ACE2 binding affinity. A348T, G476S, and V483A variants display reduced affinity to ACE2 in comparison to the Wuhan SARS-CoV2 spike protein. While the V367F and S494P population variants display a higher binding affinity towards human ACE2. Reorientation of several crucial residues at the RBD-ACE2 interface facilitates additional hydrogen bond formation for the V367F variant which enhances the binding energy during ACE2 recognition. On the other hand, the enhanced binding affinity of S494P is attributed to strong interfacial complementarity between the RBD and ACE2.

SUBMITTER: Chakraborty S

PROVIDER: S-EPMC7699163 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Evolutionary and structural analysis elucidates mutations on SARS-CoV2 spike protein with altered human ACE2 binding affinity.

Chakraborty Sandipan S

Biochemical and biophysical research communications 20201128

The recognition of ACE2 by the receptor-binding domain (RBD) of spike protein mediates host cell entry. The objective of the work is to identify SARS-CoV2 spike variants that emerged during the pandemic and evaluate their binding affinity with ACE2. Evolutionary analysis of 2178 SARS-CoV2 genomes identifies RBD variants that are under selection bias. The binding efficacy of these RBD variants to the ACE2 has been analyzed by using protein-protein docking and binding free energy calculations. Pan ...[more]

PMID: 33272568

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Project description:Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID -19, is constantly evolving, requiring continuous genomic surveillance. In this study, we used whole-genome sequencing to investigate the genetic epidemiology of SARS-CoV-2 in Bangladesh, with particular emphasis on identifying dominant variants and associated mutations. We used high-throughput next-generation sequencing (NGS) to obtain DNA sequences from COVID-19 patient samples and compared these sequences to the Wuhan SARS-CoV-2 reference genome using the Global Initiative for Sharing All Influenza Data (GISAID). Our phylogenetic and mutational analyzes revealed that the majority (88%) of the samples belonged to the pangolin lineage B.1.1.25, whereas the remaining 11% were assigned to the parental lineage B.1.1. Two main mutations, D614G and P681R, were identified in the spike protein sequences of the samples. The D614G mutation, which is the most common, decreases S1 domain flexibility, whereas the P681R mutation may increase the severity of viral infections by increasing the binding affinity between the spike protein and the ACE2 receptor. We employed molecular modeling techniques, including protein modeling, molecular docking, and quantum mechanics/molecular mechanics (QM/MM) geometry optimization, to build and validate three-dimensional models of the S_D614G-ACE2 and S_P681R-ACE2 complexes from the predominant strains. The description of the binding mode and intermolecular contacts of the referenced systems suggests that the P681R mutation may be associated with increased viral pathogenicity in Bangladeshi patients due to enhanced electrostatic interactions between the mutant spike protein and the human ACE2 receptor, underscoring the importance of continuous genomic surveillance in the fight against COVID -19. Finally, the binding profile of the S_D614G-ACE2 and S_P681R-ACE2 complexes offer valuable insights to deeply understand the binding site characteristics that could help to develop antiviral therapeutics that inhibit protein-protein interactions between SARS-CoV-2 spike protein and human ACE2 receptor.

Dataset Information

Evolutionary and structural analysis elucidates mutations on SARS-CoV2 spike protein with altered human ACE2 binding affinity.

Publications

Evolutionary and structural analysis elucidates mutations on SARS-CoV2 spike protein with altered human ACE2 binding affinity.

Similar Datasets

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