Pfam
Protein families database of alignments and HMMs
Wellcome Trust Sanger Institute
 Pfam: Pfam Home Page
 
 

Pfam is a large collection of multiple sequence alignments and hidden 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 structures

For more information on Pfam, on using this site, or on the changes between Pfam releases 17.0 and 18.0, click here.

Pfam 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.

Typical domain organisation

75% of protein sequences have at least one match to Pfam. This number is called the sequence coverage and is shown in the pie chart on the right.

Pfam is a database of two parts, the first is the curated part of Pfam containing over 7973 protein families. To give Pfam a more comprehensive coverage of known proteins we automatically generate a supplement called Pfam-B. This contains a large number of small families taken from the PRODOM database that do not overlap with Pfam-A. Although of lower quality Pfam-B families can be useful when no Pfam-A families are found.

Version 18.0
August 2005, 7973 families
Pfam piechart

Sequence coverage Pfam-A : 75%
Sequence coverage Pfam-B : 19%
Other

Web feed
You can use the RSS feed to keep updated about Pfam releases

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Enter a SWISS-PROT 47.0 or TrEMBL 30.0 name or accession number
 

Pfam Mirror Servers Worldwide
Sanger Institute Sanger Institute (UK)
St. Louis St. Louis (USA)
Karolinska Institutet Karolinska Institutet (Sweden)
Institut National de la Recherche Agronomique Institut National de la Recherche Agronomique (France)
 
FTP access to Pfam
You can read the Pfam paper:
The Pfam Protein Families Database Alex Bateman, Lachlan Coin, Richard Durbin, Robert D. Finn, Volker Hollich, Sam Griffiths-Jones, Ajay Khanna, Mhairi Marshall, Simon Moxon, Erik L. L. Sonnhammer, David J. Studholme, Corin Yeats and Sean R. Eddy
Nucleic Acids Research(2004) Database Issue 32:D138-D141

(Reproduced with permission from NAR Online)
You can also download the Pfam database and for instance search it locally using the HMMER hidden Markov model software.
Hyperlink directly to the ftp site or View ftp site files
 
 Comments or questions on the site? Send a mail to pfam@sanger.ac.uk