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July 30, 2025Open Access

Predicting interactions between the SARS-CoV-2 spike glycoprotein and the human proteome using AphaFold and molecular dynamics simulations

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Authors

QLQun LiuMHMax Henderson

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Overview

Computational tool predicts protein-protein interactions in SARS-CoV-2, suggesting insights into COVID-19 effects.

Key Points

  • MAIN FINDING: The method predicts interactions between the SARS-CoV-2 spike glycoprotein and human proteins.
  • KEY EVIDENCE: The approach validated predictions through experimental data, confirming binding to cell junction and synaptic proteins.
  • APPROACH: The study utilizes AlphaFold predictions followed by molecular dynamics simulations for analysis.
  • SIGNIFICANCE: This tool offers insights for understanding COVID-19 and can be adapted for other biological systems.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/689a0945e6551bb0af8cef8bhttps://doi.org/10.1101/2025.07.28.667129
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