Allosteric pathways of SARS and SARS‐CoV‐2 spike protein identified by neural relational inference

Author:

Hu Yao1,Li Mingwei1,Wang Qian1ORCID

Affiliation:

1. Department of Physics University of Science and Technology of China Hefei China

Abstract

AbstractThe receptor binding domain (RBD) of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) spike protein must undergo a crucial conformational transition to invade human cells. It is intriguing that this transition is accompanied by a synchronized movement of the entire spike protein. Therefore, it is possible to design allosteric regulators targeting non‐RBD but hindering the conformational transition of RBD. To understand the allosteric mechanism in detail, we establish a computational framework by integrating coarse‐grained molecular dynamic simulations and a state‐of‐the‐art neural network model called neural relational inference. Leveraging this framework, we have elucidated the allosteric pathway of the SARS‐CoV‐2 spike protein at the residue level and identified the molecular mechanisms involved in the transmission of allosteric signals. The movement of D614 is coupled with that of Q321. This interaction subsequently influences the movement of K528/K529, ultimately coupling with the movement of RBD during conformational changes. Mutations that weaken the interactions within this pathway naturally block the allosteric signal transmission, thereby modulating the conformational transitions. This observation also offers a rationale for the distinct allosteric patterns observed in the SARS‐CoV spike protein. Our result provides a useful method for analyzing the dynamics of potential viral variants in the future.

Funder

National Key Research and Development Program of China

Publisher

Wiley

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