The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012
- PMID: 22508994
- PMCID: PMC3326521
- DOI: 10.1093/database/bas019
The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012
Abstract
The PRINTS database, now in its 21st year, houses a collection of diagnostic protein family 'fingerprints'. Fingerprints are groups of conserved motifs, evident in multiple sequence alignments, whose unique inter-relationships provide distinctive signatures for particular protein families and structural/functional domains. As such, they may be used to assign uncharacterized sequences to known families, and hence to infer tentative functional, structural and/or evolutionary relationships. The February 2012 release (version 42.0) includes 2156 fingerprints, encoding 12 444 individual motifs, covering a range of globular and membrane proteins, modular polypeptides and so on. Here, we report the current status of the database, and introduce a number of recent developments that help both to render a variety of our annotation and analysis tools easier to use and to make them more widely available. Database URL: www.bioinf.manchester.ac.uk/dbbrowser/PRINTS/.
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                References
- 
    - Akrigg DA, Attwood TK, Bleasby AJ, et al. SERPENT - an information storage and analysis resource for protein sequences. CABIOS. 1992;8:295–296. - PubMed
 
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    - Sonnhammer EL, Eddy SR, Durbin R. Pfam: a comprehensive database of protein domain families based on seed alignments. Proteins. 1997;28:405–420. - PubMed
 
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