ArticlePLoS computational biology2016
Evolutionary Conserved Positions Define Protein Conformational Diversity.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Disentangling coevolutionary constraints for modeling protein conformational heterogeneity.Communications chemistry · 2026Article
- Effect of Mutations on the Evolution of Extended Spectrum β-lactamases (ESBL).The protein journal · 2025Review
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- Leveraging Sequence Purification for Accurate Prediction of Multiple Conformational States with AlphaFold2.Research square · 2025Article
- Impact of phylogeny on the inference of functional sectors from protein sequence data.PLoS computational biology · 2024Article
- A Computational Approach: The Functional Effects of Thyroid Peroxidase Variants in Thyroid Cancer and Genetic Disorders.JCO clinical cancer informatics · 2024Article
- The roles of highly conserved, non-catalytic residues in class A β-lactamases.Protein science : a publication of the Protein Society · 2022Article
- Essential site scanning analysis: A new approach for detecting sites that modulate the dispersion of protein global motions.Computational and structural biotechnology journal · 2020Article
- Network analysis of dynamically important residues in protein structures mediating ligand-binding conformational changes.European biophysics journal : EBJ · 2019Article
- Protein ensembles link genotype to phenotype.PLoS computational biology · 2019Review
- Revealing evolutionary constraints on proteins through sequence analysis.PLoS computational biology · 2019Article
- Evaluating the effect of mutations and ligand binding on transthyretin homotetramer dynamics.PloS one · 2017Article
- Structural and dynamics evidence for scaffold asymmetric flexibility of the human transthyretin tetramer.PloS one · 2017Article
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4 authors.
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Abstract
Conformational diversity of the native state plays a central role in modulating protein function. The selection paradigm sustains that different ligands shift the conformational equilibrium through their binding to highest-affinity conformers. Intramolecular vibrational dynamics associated to each conformation should guarantee conformational transitions, which due to its importance, could possibly be associated with evolutionary conserved traits. Normal mode analysis, based on a coarse-grained model of the protein, can provide the required information to explore these features. Herein, we present a novel procedure to identify key positions sustaining the conformational diversity associated to ligand binding. The method is applied to an adequate refined dataset of 188 paired protein structures in their bound and unbound forms. Firstly, normal modes most involved in the conformational change are selected according to their corresponding overlap with structural distortions introduced by ligand binding. The subspace defined by these modes is used to analyze the effect of simulated point mutations on preserving the conformational diversity of the protein. We find a negative correlation between the effects of mutations on these normal mode subspaces associated to ligand-binding and position-specific evolutionary conservations obtained from multiple sequence-structure alignments. Positions whose mutations are found to alter the most these subspaces are defined as key positions, that is, dynamically important residues that mediate the ligand-binding conformational change. These positions are shown to be evolutionary conserved, mostly buried aliphatic residues localized in regular structural regions of the protein like β-sheets and α-helix.
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