- Pfam
Pfam is a large collection of
multiple sequence alignment andhidden Markov models covering many common protein domains and families. For each family in Pfam you can:* Look at multiple alignments
* View protein domain architectures
* Examine species distribution
* Follow links to other databases
* View known protein structuresPfam can be used to view the domain organisation of proteins. A typical example is shown below. Notice that a single protein can belong to several Pfam families.
74% of protein sequences have at least one match to Pfam. This number is called the sequence coverage.
The Pfam database contains information about
protein domain s and families. Pfam-A is the manually curated portion of the database that contains over 9,000 entries. For each entry a protein sequence alignment and ahidden Markov model is stored. Thesehidden Markov model s can be used to search sequence databases with theHMMER package written by Sean Eddy. Because the entries in Pfam-A do not cover all known proteins an automatically generated supplement is provided called Pfam-B. Pfam-B contains a large number of small families derived from the PRODOM [http://prodom.prabi.fr] database. Although of lower quality Pfam-B families can be useful when no Pfam-A families are found.The database iPfam builds on the domain description of Pfam. It investigates if different proteins described together in the
protein structure databasePDB are close enough to potentially interact.ee also
*
TrEMBL Database performing an automated protein sequence annotation
*InterPro Integration of protein domain and protein family databasesReferences
*
*
*
External links
* [http://pfam.sanger.ac.uk Pfam] - Protein family database at
Sanger Institute UK
* [http://pfam.janelia.org/ Pfam] - Protein family database atJanelia Farm Research Campus USA
* [http://pfam.cgb.ki.se/ Pfam] - Protein family database atCenter for Genomics and Bioinformatics Sweden
* [http://www.sanger.ac.uk/Software/Pfam/iPfam/ iPfam] - Interactions of Pfam domains in PDB
Wikimedia Foundation. 2010.