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Dynamic insights into the structural evolution of ACE2-RBD interactions through molecular dynamics simulation, Markov
Yutao Zhou1,2, Tong Wang1
1State Key Laboratory of Membrane Biology and Beijing Frontier Research Center for Biological Structure and Tsinghua-Peking Center for Life Sciences and Center for Life Sciences and Artificial Intelligence, School of Life Sciences, Tsinghua University, Beijing 100084, China.
SARS-CoV-2 variants like Omicron BA.2, BA.2.86, and JN.1 show altered binding dynamics with the ACE2 receptor. Our study reveals how mutations impact viral interactions, aiding future therapeutic design.
Area of Science:
- Molecular biology
- Structural biology
- Computational virology
Background:
- The SARS-CoV-2 Spike protein's receptor-binding domain (RBD) mediates host cell entry by binding to angiotensin-converting enzyme 2 (ACE2).
- Existing structural studies lack dynamic insights into ACE2-RBD interactions, particularly for emerging variants.
- Conventional analysis of molecular dynamics (MD) simulations often fails to adequately detect and analyze metastable states.
Purpose of the Study:
- To analyze the dynamic and thermodynamic properties of the ACE2-RBD complex for SARS-CoV-2 wild type and Omicron variants (BA.2, BA.2.86, JN.1).
- To establish a robust method for extracting detailed kinetic and thermodynamic insights from extensive MD simulations.
- To provide a dynamic, atomic-level understanding of ACE2-RBD interactions and their evolution.
Main Methods:
- Extensive molecular dynamics (MD) simulations of ACE2-RBD complexes.
- Time-lagged independent component analysis-Markov State Models (TICA-MSM) for analyzing metastable states.
- Scanning point mutations on RBD, evaluation with a large language model, and analysis of structural interactions.
Main Results:
- Identification of four principal metastable states for each ACE2-RBD system studied.
- Demonstration that lineage-defining mutations systematically alter thermodynamic properties (equilibrium populations, interaction energies) and transition kinetics.
- Detailed, dynamic, atomic-level view of structural evolution at the ACE2-RBD binding interface.
Conclusions:
- The TICA-MSM approach offers a superior paradigm for analyzing MD simulation data, revealing critical dynamic and thermodynamic insights.
- Lineage-defining mutations significantly impact the ACE2-RBD interaction landscape, influencing viral behavior.
- This research provides a mechanistic basis for enhanced viral surveillance and the design of targeted therapeutics against SARS-CoV-2 variants.
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