CluSTr: a database of clusters of SWISS-PROT+TrEMBL proteins
Open Access
- 1 January 2001
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 29 (1) , 33-36
- https://doi.org/10.1093/nar/29.1.33
Abstract
The CluSTr (Clusters of SWISS-PROT and TrEMBL proteins) database offers an automatic classification of SWISS-PROT and TrEMBL proteins into groups of related proteins. The clustering is based on analysis of all pairwise comparisons between protein sequences. Analysis has been carried out for different levels of protein similarity, yielding a hierarchical organisation of clusters. The database provides links to InterPro, which integrates information on protein families, domains and functional sites from PROSITE, PRINTS, Pfam and ProDom. Links to the InterPro graphical interface allow users to see at a glance whether proteins from the cluster share particular functional sites. CluSTr also provides cross-references to HSSP and PDB. The database is available for querying and browsing at http://www.ebi.ac.uk/clustr.Keywords
This publication has 14 references indexed in Scilit:
- Identification of common molecular subsequencesPublished by Elsevier ,2004
- Proteome Analysis Database: online application of InterPro and CluSTr for the functional classification of proteins in whole genomesNucleic Acids Research, 2001
- The InterPro database, an integrated documentation resource for protein families, domains and functional sitesNucleic Acids Research, 2001
- The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000Nucleic Acids Research, 2000
- PRINTS-S: the database formerly known as PRINTSNucleic Acids Research, 2000
- Removing redundancy in SWISS-PROT and TrEMBL.Bioinformatics, 1999
- The PROSITE database, its status in 1999Nucleic Acids Research, 1999
- Protein folds and families: sequence and structure alignmentsNucleic Acids Research, 1999
- LASSAP, a LArge Scale Sequence compArison Package.Bioinformatics, 1997
- [8] SRS: Information retrieval system for molecular biology data banksPublished by Elsevier ,1996