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Updated: Jul 15, 2026
06:50
Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
Specificity in protein interactions and its relationship with sequence diversity and coevolution.
Luke Hakes1, Simon C Lovell, Stephen G Oliver
1Faculty of Life Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, United Kingdom.
Summary
Molecular coevolution, or the correlated evolution of binding proteins, is not driven by compensatory mutations. Instead, similar gene expression levels in interacting proteins likely cause this observed evolutionary correlation.
Area of Science:
- Evolutionary biology
- Molecular biology
- Genomics
Background:
- Correlated sequence evolution in binding protein partners has been observed, suggesting molecular coevolution driven by compensatory mutations.
- This phenomenon, where mutations in one protein are compensated by mutations in its binding partner, is thought to maintain interaction specificity.
Purpose of the Study:
- To investigate the driving forces behind the correlated evolution of interacting proteins in yeast and eukaryotes.
- To determine if molecular coevolution or other factors, such as constraints on evolutionary rates, are primarily responsible for observed sequence correlations.
Main Methods:
- Analysis of sequence alignments of interacting proteins in yeast and eukaryotes.
- Focus on protein surface and binding interface characteristics to assess coevolution.
- Comparison of predictive power between correlated evolution and absolute gene expression levels for identifying interacting protein partners.
Main Results:
- Detailed analysis of binding interfaces did not improve correlation, questioning the role of compensatory mutations.
- Absolute gene expression levels were found to be a better predictor of interacting protein partners than correlated evolution.
- Correlated sequence evolution was observed not only between physically interacting proteins but also functionally related proteins within complexes.
Conclusions:
- True molecular coevolution through compensatory mutations is unlikely to be the primary driver of correlated protein sequence evolution.
- Similar evolutionary rates, influenced by gene expression levels, are a more plausible explanation for the observed correlations.
- The findings suggest that shared evolutionary constraints, particularly gene expression, play a significant role in shaping the evolution of protein interaction networks.
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