title: The role of negative selection in protein evolution revealed through the energetics of the native state ensemble.
abstract: Knowing the determinants of conformational specificity is essential for understanding protein structure, stability, and fold evolution. To address this issue, a novel statistical measure of energetic compatibility between sequence and structure was developed using an experimentally validated model of the energetics of the native state ensemble. This approach successfully matched sequences from a diverse subset of the human proteome to their respective folds. Unexpectedly, significant energetic compatibility between ostensibly unrelated sequences and structures was also observed. Interrogation of these matches revealed a general framework for understanding the origins of conformational specificity within a proteome: specificity is a complex function of both the ability of a sequence to adopt folds other than the native, and ability of a fold to accommodate sequences other than the native. The regional variation in energetic compatibility indicates that the compatibility is dominated by incompatibility of sequence for alternative fold segments, suggesting that evolution of protein sequences has involved substantial negative selection, with certain segments serving as "gatekeepers" that presumably prevent alternative structures. Beyond these global trends, a size dependence exists in the degree to which the energetic compatibility is determined from negative selection, with smaller proteins displaying more negative selection. This partially explains how short sequences can adopt unique folds, despite the higher probability in shorter proteins for small numbers of mutations to increase compatibility with other folds. In providing evolutionary ground rules for the thermodynamic relationship between sequence and fold, this framework imparts valuable insight for rational design of unique folds or fold switches.
authors.affiliation: Department of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.|T. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, 21218.
authors.forename: Jordan
authors.initials: J
authors.lastname: Hoffmann
authors.affiliation: Department of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.|T. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, 21218.
authors.forename: James O
authors.initials: JO
authors.lastname: Wrabl
authors.affiliation: Department of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.|T. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, 21218.
authors.forename: Vincent J
authors.initials: VJ
authors.lastname: Hilser
mesh_terms: D000595:Amino Acid Sequence; D030562:Databases, Protein; D019143:Evolution, Molecular; D015894:Genome, Human; D006801:Humans; D009154:Mutation; D011487:Protein Conformation; D000072417:Protein Domains; D017510:Protein Folding; D017433:Protein Structure, Secondary; D020543:Proteome / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D012641:Selection, Genetic; D013816:Thermodynamics
chemical_list: D020543:Proteome
keywords: fold recognition; gapless threading; metamorphic proteins; rational design; thermodynamic environments