Issue 15, 2022

Insights from computational analysis: how does the SARS-CoV-2 Delta (B.1.617.2) variant hijack ACE2 more effectively?

Abstract

The SARS-CoV-2 Delta (B.1.617.2) variant was identified in India in October 2020, and it has quickly become the mainstream strain with strong toxicity and spread, posing great challenges to epidemic control. However, the molecular mechanism of its powerful infectivity remains unclear. It is meaningful to investigate the process of Delta variant's receptor-binding domain (RBD) binding to angiotensin-converting enzyme 2 (ACE2). Here, we performed three repeated molecular dynamics simulations for each system to avoid accidents, and the alanine scanning combined with the interaction entropy (ASIE) method was utilized to evaluate the binding free energy. Through the detailed energy and conformational analysis, the binding mechanism of the Delta variant was illustrated. The results showed that the existence of L452R and T478K mutations can trigger the effective hijacking of ACE2 by the Delta variant through the following three ways: (i) these two mutations can significantly enhance the electrostatic energy of the system by the introduction of two positively charged amino acids (Arg and Lys), thereby increasing the binding affinity of RBD and ACE2, (ii) the Loops 1, 3, and 4 in the receptor-binding motif (RBM) of RBD form a tighter conformation under the dominance of the T478K mutation, allowing ACE2 to be captured more effectively than the wild-type system, and (iii) these conformational changes lead to a more stable hydrogen bond in the Delta variant, which further ensures the stability of the binding. In addition, to explore the effect of mutations on the antibody, the key residues contributing to the changes in the binding ability of RBD in the Delta variant with the existing 42 neutralizing monoclonal antibodies (mAbs) have been preliminarily evaluated. The present study reveals the molecular mechanism for the increased infectivity of SARS-CoV-2 caused by mutations, and the key sites that cause antigenic changes were screened. It provides important theoretical insights for the development of novel targeted RBD drugs and antibodies.

Graphical abstract: Insights from computational analysis: how does the SARS-CoV-2 Delta (B.1.617.2) variant hijack ACE2 more effectively?

Supplementary files

Article information

Article type
Paper
Submitted
19 Feb 2022
Accepted
19 Mar 2022
First published
21 Mar 2022

Phys. Chem. Chem. Phys., 2022,24, 8683-8694

Insights from computational analysis: how does the SARS-CoV-2 Delta (B.1.617.2) variant hijack ACE2 more effectively?

D. Xiong, X. Zhao, S. Luo and L. Duan, Phys. Chem. Chem. Phys., 2022, 24, 8683 DOI: 10.1039/D2CP00843B

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