title: Mutation matrices and physical-chemical properties: correlations and implications.
abstract: To investigate how the properties of individual amino acids result in proteins with particular structures and functions, we have examined the correlations between previously derived structure-dependent mutation rates and changes in various physical-chemical properties of the amino acids such as volume, charge, alpha-helical and beta-sheet propensity, and hydrophobicity. In most cases we found the delta G of transfer from octanol to water to be the best model for evolutionary constraints, in contrast to the much weaker correlation with the delta G of transfer from cyclohexane to water, a property found to be highly correlated to changes in stability in site-directed mutagenesis studies. This suggests that natural evolution may follow different rules than those suggested by results obtained in the laboratory. A high degree of conservation of a surface residue's relative hydrophobicity was also observed, a fact that cannot be explained by constraints on protein stability but that may reflect the consequences of the reverse-hydrophobic effect. Local propensity, especially alpha-helical propensity, is rather poorly conserved during evolution, indicating that non-local interactions dominate protein structure formation. We found that changes in volume were important in specific cases, most significantly in transitions among the hydrophobic residues in buried locations. To demonstrate how these techniques could be used to understand particular protein families, we derived and analyzed mutation matrices for the hypervariable and framework regions of antibody light chain V regions. We found surprisingly high conservation of hydrophobicity in the hypervariable region, possibly indicating an important role for hydrophobicity in antigen recognition.
authors.affiliation: Biophysics Research Division, University of Michigan, Ann Arbor 48109-1055, USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Koshi
authors.forename: R A
authors.initials: RA
authors.lastname: Goldstein
mesh_terms: D000596:Amino Acids / Q000737:chemistry* / Q000235:genetics; D000906:Antibodies / Q000737:chemistry / Q000235:genetics; D019143:Evolution, Molecular; D008956:Models, Chemical; D008957:Models, Genetic; D008958:Models, Molecular; D009154:Mutation; D010802:Phylogeny; D011336:Probability; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D016415:Sequence Alignment; D012984:Software
chemical_list: D000596:Amino Acids; D000906:Antibodies; D011506:Proteins