title: Procrustean rotation in concert with principal component analysis of molecular dynamics trajectories: Quantifying global and local differences between conformational samples.
abstract: Given the principal component analysis (PCA) of a molecular dynamics (MD) conformational trajectory for a model protein, we perform orthogonal Procrustean rotation to "best fit" the PCA squared-loading matrix to that of a target matrix computed for a related but different molecular system. The sum of squared deviations of the elements of the rotated matrix from those of the target, known as the error of fit (EOF), provides a quantitative measure of the dissimilarity between the two conformational samples. To estimate precision of the EOF, we perform bootstrap resampling of the molecular conformations within the trajectories, generating a distribution of EOF values for the system and target. The average EOF per variable is determined and visualized to ascertain where, locally, system and target sample properties differ. We illustrate this approach by analyzing MD trajectories for the wild-type and four selected mutants of the beta1 domain of protein G.
authors.affiliation: Department of Chemistry, Brock University, St. Catharines, Ontario L2S 3A1, Canada.
authors.forename: Daniel G
authors.initials: DG
authors.lastname: Oblinsky
authors.forename: Bryan M B
authors.initials: BM
authors.lastname: Vanschouwen
authors.forename: Heather L
authors.initials: HL
authors.lastname: Gordon
authors.forename: Stuart M
authors.initials: SM
authors.lastname: Rothstein
mesh_terms: D000595:Amino Acid Sequence; D001426:Bacterial Proteins / Q000737:chemistry; D019204:GTP-Binding Proteins / Q000737:chemistry; D008958:Models, Molecular; D008968:Molecular Conformation; D056004:Molecular Dynamics Simulation; D008969:Molecular Sequence Data; D025341:Principal Component Analysis
chemical_list: D001426:Bacterial Proteins; D019204:GTP-Binding Proteins