Cited by 1Protein Structure and DynamicsEvolution and Genetic DynamicsRNA and protein synthesis mechanisms

Out-of-Equilibrium Selection Pressure Enhances Inference from Protein Sequence Data

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Dietler, Nicola, Malbranke, Cyril, Bitbol, Anne-Florence·2026·Physical Review Letters

Published version of a preprint

Abstract

Homologous proteins have similar three-dimensional structures and biological functions that shape their sequences. The resulting coevolution-driven correlations underlie methods from Potts models to lphaold, which infer protein structure and function from sequences. Using a minimal model, we show that fluctuating selection strength and the onset of new selection pressures improve coevolution-based inference of structural contacts. Our conclusions extend to realistic synthetic data and to the inference of interaction partners. Out-of-equilibrium noise arising from ubiquitous variations in natural selection thus enhances, rather than hinders, the success of inference from protein sequences.

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Authors
Dietler, N., Malbranke, C., & Bitbol, A.-F.
Affiliations
SIB Swiss Institute of Bioinformatics (CH)
Corresponding author
Bitbol, Anne-Florence
Venue
Physical Review Letters
Published
2026-03-11
Volume
136
Issue
10
Pages
108402-108402
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W7128594600
Cited by
1
References
3
Citations by year
2026: 1
FWCI
2.04
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • European Research Council (851173)
  • H2020 Research Infrastructures
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
protein coevolution, fluctuating selection, structural contacts, Potts model, protein homology, protein sequence data
MeSH terms
Amino Acid Sequence, Models, Genetic, Models, Molecular, Proteins, Selection, Genetic, Evolution, Molecular

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