Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PairsDB

General information

URL: http://pairsdb.csc.fi/
Full name: Pairs Database
Description: PairsDB is a database intended to make exploring protein sequences and their similarity relationships quick and easy.
Year founded: 2008
Last update: 2008-01-01
Version:
Accessibility:
Unaccessible
Country/Region: United Kingdom

Classification & Tag

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

Contact information

University/Institution: University of Oxford
Address: UK
City: Oxford
Province/State: Oxfordshire
Country/Region: United Kingdom
Contact name (PI/Team): Liisa Holm
Contact email (PI/Helpdesk): liisa.holm@helsinki.fi

Publications

17986464
PairsDB atlas of protein sequence space. [PMID: 17986464]
Heger A, Korpelainen E, Hupponen T, Mattila K, Ollikainen V, Holm L.

Sequence similarity/database searching is a cornerstone of molecular biology. PairsDB is a database intended to make exploring protein sequences and their similarity relationships quick and easy. Behind PairsDB is a comprehensive collection of protein sequences and BLAST and PSI-BLAST alignments between them. Instead of running BLAST or PSI-BLAST individually on each request, results are retrieved instantaneously from a database of pre-computed alignments. Filtering options allow you to find a set of sequences satisfying a set of criteria-for example, all human proteins with solved structure and without transmembrane segments. PairsDB is continually updated and covers all sequences in Uniprot. The data is stored in a MySQL relational database. Data files will be made available for download at ftp://nic.funet.fi/pub/sci/molbio. PairsDB can also be accessed interactively at http://pairsdb.csc.fi. PairsDB data is a valuable platform to build various downstream automated analysis pipelines. For example, the graph of all-against-all similarity relationships is the starting point for clustering protein families, delineating domains, improving alignment accuracy by consistency measures, and defining orthologous genes. Moreover, query-anchored stacked sequence alignments, profiles and consensus sequences are useful in studies of sequence conservation patterns for clues about possible functional sites.

Nucleic Acids Res. 2008:36(Database issue) | 9 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6048/6895 (12.299%)
Phylogeny and homology:
263/302 (13.245%)
6048
Total Rank
9
Citations
0.529
z-index

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Record metadata

Created on: 2015-07-29
Curated by:
Lina Ma [2018-07-04]
Shixiang Sun [2016-03-24]
Mengwei Li [2016-02-20]
Shixiang Sun [2015-11-21]
Shixiang Sun [2015-11-19]