title: Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches.
abstract: Deciphering the effects of nonsynonymous mutations on protein structure is central to many areas of biomedical research and is of fundamental importance to the study of molecular evolution. Much of the investigation of protein evolution has focused on mutations that leave a protein's folded structure essentially unchanged. However, to evolve novel folds of proteins, mutations that lead to large conformational modifications have to be involved. Unraveling the basic biophysics of such mutations is a challenge to theory, especially when only one or two amino acid substitutions cause a large-scale conformational switch. Among the few such mutational switches identified experimentally, the one between the GA all-α and GB α+β folds is extensively characterized; but all-atom simulations using fully transferrable potentials have not been able to account for this striking switching behavior. Here we introduce an explicit-chain model that combines structure-based native biases for multiple alternative structures with a general physical atomic force field, and apply this construct to twelve mutants spanning the sequence variation between GA and GB. In agreement with experiment, we observe conformational switching from GA to GB upon a single L45Y substitution in the GA98 mutant. In line with the latent evolutionary potential concept, our model shows a gradual sequence-dependent change in fold preference in the mutants before this switch. Our analysis also indicates that a sharp GA/GB switch may arise from the orientation dependence of aromatic π-interactions. These findings provide physical insights toward rationalizing, predicting and designing evolutionary conformational switches.
authors.affiliation: Departments of Biochemistry and Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Tobias
authors.identifier: 0000-0001-9929-3525
authors.initials: T
authors.lastname: Sikosek
authors.affiliation: Departments of Biochemistry and Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Heinrich
authors.initials: H
authors.lastname: Krobath
authors.affiliation: Departments of Biochemistry and Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Hue Sun
authors.initials: HS
authors.lastname: Chan
mesh_terms: D003198:Computer Simulation; D019143:Evolution, Molecular; D019204:GTP-Binding Proteins / Q000737:chemistry* / Q000235:genetics* / Q000648:ultrastructure; D005812:Genes, Switch / Q000235:genetics*; D014644:Genetic Variation; D042822:Genomic Instability / Q000235:genetics*; D008956:Models, Chemical; D008957:Models, Genetic; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D020539:Sequence Analysis, Protein / Q000379:methods
chemical_list: D019204:GTP-Binding Proteins