title: DoSA: Database of Structural Alignments.
abstract: Protein structure alignment is a crucial step in protein structure-function analysis. Despite the advances in protein structure alignment algorithms, some of the local conformationally similar regions are mislabeled as structurally variable regions (SVRs). These regions are not well superimposed because of differences in their spatial orientations. The Database of Structural Alignments (DoSA) addresses this gap in identification of local structural similarities obscured in global protein structural alignments by realigning SVRs using an algorithm based on protein blocks. A set of protein blocks is a structural alphabet that abstracts protein structures into 16 unique local structural motifs. DoSA provides unique information about 159,780 conformationally similar and 56,140 conformationally dissimilar SVRs in 74 705 pairwise structural alignments of homologous proteins. The information provided on conformationally similar and dissimilar SVRs can be helpful to model loop regions. It is also conceivable that conformationally similar SVRs with conserved residues could potentially contribute toward functional integrity of homologues, and hence identifying such SVRs could be helpful in understanding the structural basis of protein function. Database URL: http://bo-protscience.fr/dosa/
authors.affiliation: Dynamique des Structures et Interactions des Macromolécules Biologiques, UMR-S INSERM S665, Faculté des Sciences et Technologies, Université de La Réunion, F-97715 Saint Denis Messag Cedex 09, La Réunion, France.
authors.forename: Swapnil
authors.initials: S
authors.lastname: Mahajan
authors.forename: Garima
authors.initials: G
authors.lastname: Agarwal
authors.forename: Mohammed
authors.initials: M
authors.lastname: Iftekhar
authors.forename: Bernard
authors.initials: B
authors.lastname: Offmann
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: de Brevern
authors.forename: Narayanaswamy
authors.initials: N
authors.lastname: Srinivasan
mesh_terms: D022126:Access to Information; D000595:Amino Acid Sequence; D030562:Databases, Protein; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry*; D013223:Statistics as Topic; D040681:Structural Homology, Protein
chemical_list: D011506:Proteins