ArticlePLoS genetics2021
Quantifying evolutionary importance of protein sites: A Tale of two measures.
Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Modeling the structure-conditioned sequence landscape for large-scale protein design with TriFlow.bioRxiv : the preprint server for biology · 2025Article
- Separation-of-Function Alleles ofBiomolecules · 2025Article
- Language models can identify enzymatic binding sites in protein sequences.Computational and structural biotechnology journal · 2024Article
- The Arabidopsis AtSWEET13 transporter discriminates sugars by selective facial and positional substrate recognition.Communications biology · 2024Article
- Ancient Loss of Catalytic Selenocysteine Spurred Convergent Adaptation in a Mammalian Oxidoreductase.Genome biology and evolution · 2024Article
- ASD2023: towards the integrating landscapes of allosteric knowledgebase.Nucleic acids research · 2024Article
- Structure-informed microbial population genetics elucidate selective pressures that shape protein evolution.Science advances · 2023Article
- An Evolutionary Conservation and Druggability Analysis of Enzymes Belonging to the Bacterial Shikimate Pathway.Antibiotics (Basel, Switzerland) · 2022Article
- Worldwide Protein Data Bank (wwPDB): A virtual treasure for research in biotechnology.European journal of microbiology & immunology · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key challenge in evolutionary biology is the accurate quantification of selective pressure on proteins and other biological macromolecules at single-site resolution. The evolutionary importance of a protein site under purifying selection is typically measured by the degree of conservation of the protein site itself. A possible alternative measure is the strength of the site-induced conservation gradient in the rest of the protein structure. However, the quantitative relationship between these two measures remains unknown. Here, we show that despite major differences, there is a strong linear relationship between the two measures such that more conserved protein sites also induce stronger conservation gradient in the rest of the protein. This linear relationship is universal as it holds for different types of proteins and functional sites in proteins. Our results show that the strong selective pressure acting on the functional site in general percolates through the rest of the protein via residue-residue contacts. Surprisingly however, catalytic sites in enzymes are the principal exception to this rule. Catalytic sites induce significantly stronger conservation gradients in the rest of the protein than expected from the degree of conservation of the site alone. The unique requirement for the active site to selectively stabilize the transition state of the catalyzed chemical reaction imposes additional selective constraints on the rest of the enzyme.
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