ArticleBioinformatics (Oxford, England)2013
Accounting for epistatic interactions improves the functional analysis of protein structures.
Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- ShinyBioHEAT: an interactive shiny app to identify phenotype driver genes in E.coli and B.subtilis.Bioinformatics (Oxford, England) · 2023Article
- Evolutionary action of mutations reveals antimicrobial resistance genes in Escherichia coli.Nature communications · 2022Article
- Identification of evolutionarily stable functional and immunogenic sites across the SARS-CoV-2 proteome and the greater coronavirus family.Research square · 2021Article
- An Evolutionary Trace method defines functionally important bases and sites common to RNA families.PLoS computational biology · 2020Article
- CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation.Human mutation · 2019Article
- Evolutionary histories of coxsackievirus B5 and swine vesicular disease virus reconstructed by phylodynamic and sequence variation analyses.Scientific reports · 2018Article
- Protein-protein interaction specificity is captured by contact preferences and interface composition.Bioinformatics (Oxford, England) · 2018Article
- Evolutionary action and structural basis of the allosteric switch controlling βNature communications · 2017Article
- Article
- How mutational epistasis impairs predictability in protein evolution and design.Protein science : a publication of the Protein Society · 2016Article
- Cooperativity of Negative Autoregulation Confers Increased Mutational Robustness.Physical review letters · 2016Article
- Intramolecular allosteric communication in dopamine D2 receptor revealed by evolutionary amino acid covariation.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures.Nucleic acids research · 2016Article
- Elucidation of G-protein and β-arrestin functional selectivity at the dopamine D2 receptor.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Determinants of endogenous ligand specificity divergence among metabotropic glutamate receptors.The Journal of biological chemistry · 2015Article
- A formal perturbation equation between genotype and phenotype determines the Evolutionary Action of protein-coding variations on fitness.Genome research · 2014Article
- Selectivity and evolutionary divergence of metabotropic glutamate receptors for endogenous ligands and G proteins coupled to phospholipase C or TRP channels.The Journal of biological chemistry · 2014Article
- Negative feedback in genetic circuits confers evolutionary resilience and capacitance.Cell reports · 2014Article
- Prediction and redesign of protein-protein interactions.Progress in biophysics and molecular biologyReview
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7 authors.
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Abstract
motivationThe constraints under which sequence, structure and function coevolve are not fully understood. Bringing this mutual relationship to light can reveal the molecular basis of binding, catalysis and allostery, thereby identifying function and rationally guiding protein redesign. Underlying these relationships are the epistatic interactions that occur when the consequences of a mutation to a protein are determined by the genetic background in which it occurs. Based on prior data, we hypothesize that epistatic forces operate most strongly between residues nearby in the structure, resulting in smooth evolutionary importance across the structure. METHODS AND
resultsWe find that when residue scores of evolutionary importance are distributed smoothly between nearby residues, functional site prediction accuracy improves. Accordingly, we designed a novel measure of evolutionary importance that focuses on the interaction between pairs of structurally neighboring residues. This measure that we term pair-interaction Evolutionary Trace yields greater functional site overlap and better structure-based proteome-wide functional predictions.
conclusionsOur data show that the structural smoothness of evolutionary importance is a fundamental feature of the coevolution of sequence, structure and function. Mutations operate on individual residues, but selective pressure depends in part on the extent to which a mutation perturbs interactions with neighboring residues. In practice, this principle led us to redefine the importance of a residue in terms of the importance of its epistatic interactions with neighbors, yielding better annotation of functional residues, motivating experimental validation of a novel functional site in LexA and refining protein function prediction. CONTACT: lichtarge@bcm.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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