Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

DoSA

General information

URL: http://bo-protscience.fr/dosa
Full name: Database of Structural Alignments
Description: 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.
Year founded: 2013
Last update:
Version:
Accessibility:
Accessible
Country/Region: France

Classification & Tag

Data type:
Data object:
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: University of Reunion
Address:
City:
Province/State:
Country/Region: France
Contact name (PI/Team): Narayanaswamy Srinivasan
Contact email (PI/Helpdesk): ns@mbu.iisc.ernet.in

Publications

23846594
DoSA: Database of Structural Alignments. [PMID: 23846594]
Mahajan S, Agarwal G, Iftekhar M, Offmann B, de Brevern AG, Srinivasan N.

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/

Database (Oxford). 2013:2013() | 1 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6842/6895 (0.783%)
Structure:
955/967 (1.344%)
6842
Total Rank
1
Citations
0.083
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Record metadata

Created on: 2018-01-28
Curated by:
Zhuang Xiong [2018-04-18]
Zhuang Xiong [2018-02-24]
Pei Wang [2018-01-28]