title: Dissecting the roles of local packing density and longer-range effects in protein sequence evolution.
abstract: What are the structural determinants of protein sequence evolution? A number of site-specific structural characteristics have been proposed, most of which are broadly related to either the density of contacts or the solvent accessibility of individual residues. Most importantly, there has been disagreement in the literature over the relative importance of solvent accessibility and local packing density for explaining site-specific sequence variability in proteins. We show that this discussion has been confounded by the definition of local packing density. The most commonly used measures of local packing, such as contact number and the weighted contact number, represent the combined effects of local packing density and longer-range effects. As an alternative, we propose a truly local measure of packing density around a single residue, based on the Voronoi cell volume. We show that the Voronoi cell volume, when calculated relative to the geometric center of amino-acid side chains, behaves nearly identically to the relative solvent accessibility, and each individually can explain, on average, approximately 34% of the site-specific variation in evolutionary rate in a data set of 209 enzymes. An additional 10% of variation can be explained by nonlocal effects that are captured in the weighted contact number. Consequently, evolutionary variation at a site is determined by the combined effects of the immediate amino-acid neighbors of that site and effects mediated by more distant amino acids. We conclude that instead of contrasting solvent accessibility and local packing density, future research should emphasize on the relative importance of immediate contacts and longer-range effects on evolutionary variation. Proteins 2016; 84:841-854. © 2016 Wiley Periodicals, Inc.
authors.affiliation: Department of Physics, The University of Texas at Austin, Austin, Texas.|Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas.|Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas.
authors.forename: Amir
authors.initials: A
authors.lastname: Shahmoradi
authors.affiliation: Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas.|Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas.|Department of Integrative Biology, The University of Texas at Austin, Austin, Texas.
authors.forename: Claus O
authors.initials: CO
authors.lastname: Wilke
mesh_terms: D000596:Amino Acids / Q000737:chemistry*; D000818:Animals; D030562:Databases, Protein; D019143:Evolution, Molecular; D006801:Humans; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D012997:Solvents / Q000737:chemistry
chemical_list: D000596:Amino Acids; D011506:Proteins; D012997:Solvents
keywords: contact number; packing density; protein evolution; protein structure; solvent accessibility