Cited by 87Protein Structure and DynamicsEnzyme Structure and FunctionMachine Learning in Bioinformatics

AlphaFold2 Can Predict Single-Mutation Effects

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McBride, John M., Polev, Konstantin, Abdirasulov, Amirbek, Reinharz, Vladimir, Grzybowski, Bartosz A., Tlusty, Tsvi·2023·Physical Review Letters

Published version of a preprint

Abstract

AlphaFold2 (AF) is a promising tool, but is it accurate enough to predict single mutation effects? Here, we report that the localized structural deformation between protein pairs differing by only 1-3 mutations-as measured by the effective strain-is correlated across 3901 experimental and AF-predicted structures. Furthermore, analysis of ∼11 000 proteins shows that the local structural change correlates with various phenotypic changes. These findings suggest that AF can predict the range and magnitude of single-mutation effects on average, and we propose a method to improve precision of AF predictions and to indicate when predictions are unreliable.

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Crossref · 10.1103/physrevlett.131.218401

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Authors
McBride, J. M., Polev, K., Abdirasulov, A., Reinharz, V., Grzybowski, B. A., & Tlusty, T.
Affiliations
  • Institute for Basic Science (KR)
  • Ulsan National Institute of Science and Technology (KR)
  • Université du Québec à Montréal (CA)
Corresponding author
Tlusty, Tsvi
Venue
Physical Review Letters
Published
2023-11-20
Volume
131
Issue
21
Pages
218401-218401
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W4388825176
Cited by
87
References
7
Citations by year
2026: 15 · 2025: 34 · 2024: 28 · 2023: 7 · 2022: 3
FWCI
7.47
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
Institute for Basic Science (IBS-R020-D1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
Keywords
AlphaFold2, protein structure prediction, equivalent strain, structural deformation, phenotypic change, forecast reliability
MeSH terms
Mutation, Proteins, Software

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