Skip to main content

ORIGINAL RESEARCH article

Front. Mol. Biosci.
Sec. Biological Modeling and Simulation
Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1545041

Simulations of pH and Thermal Effects on SARS-CoV-2 Spike Glycoprotein

Provisionally accepted
Ziyuan Niu Ziyuan Niu 1Georgios Kementzidis Georgios Kementzidis 1Miriam Rafailovich Miriam Rafailovich 1Marcia Simon Marcia Simon 1Evangelos Papadopoulos Evangelos Papadopoulos 2Bertal Aktas Bertal Aktas 2Yuefan Deng Yuefan Deng 1*
  • 1 Stony Brook University, Stony Brook, United States
  • 2 Harvard Medical School, Boston, Massachusetts, United States

The final, formatted version of the article will be published soon.

    We performed triplicate and long-time all-atom molecular dynamics simulations to investigate the structures and dynamics of the SARS-CoV-2 spike glycoprotein (S-protein) for a broad range of pH = 1 through 11 and temperatures of 3˚C through 75˚C. This study elucidates the complex interplay between pH and thermal effects on S-protein structures, with implications for its behavior under diverse conditions, and identifies the RBD as a primary region of the structural deviations. We found: (1) Structural deviations in the S-protein backbone at pH = 1 are 210% greater than those at pH = 7 at 75˚C, with most of the deviations appearing in the receptor-binding domain (RBD). Smaller structural changes are observed at pH = 3 and 11. (2) The pH and thermal conditions impact on the protein structures: substantial acidic and basic conditions expand the protein's solvent exposure, while high heat contracts. This effect is primarily pH-driven at extreme acidity and thermo-driven at moderate pH. (3) The Gibbs free energy landscape reveals that pH as the main driver of structural changes. (4) The parametrized methods enable the predictions of the S-protein properties at any reasonable pH and thermal conditions without explicit MD simulations.

    Keywords: SARS-CoV-2, Spike protein, AAMD, pH solvent, Thermal conditions

    Received: 13 Dec 2024; Accepted: 20 Jan 2025.

    Copyright: © 2025 Niu, Kementzidis, Rafailovich, Simon, Papadopoulos, Aktas and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yuefan Deng, Stony Brook University, Stony Brook, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.