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"The Pfam protein families
database," by Alex
Bateman and 9 others, Nucleic Acids Research, 30(1): 276-80,
1 January 2002.
[Author affiliations: Wellcome Trust Sanger
Institute and The European Bioinformatics Institute, Cambridge, U.K.;
SIB, ISREC, Lausanne, Switzerland; Howard Hughes Medical Institute, Washington
University School of Medicine,
St. Louis, MO; Karolinska Institute, Stockholm, Sweden]
Abstract: "Pfam is a large collection of protein multiple sequence
alignments and profile hidden Markov models. Pfam is available on the World
Wide Web in the UK at http://www.sanger.ac.uk/Software/Pfam/,
in Sweden at http://www.cgb.ki.se/Pfam/,
in France at http://pfam.jouy.inra.fr/
and in the US at http://pfam.wustl.edu/.
The latest version (6.6) of Pfam contains 3071 families, which match 69% of
proteins in SWISS-PROT 39 and TrEMBL 14. Structural data, where available,
have been utilised to ensure that Pfam families correspond with structural
domains, and to improve domain-based annotation. Predictions of non-domain
regions are now also included. In addition to secondary structure, Pfam
multiple sequence alignments now contain active site residue mark-up. New
search tools, including taxonomy search and domain query, greatly add to the
functionality and usability of the Pfam resource."
This 2002 report from Nucleic Acids
Research was cited 54 times in current journal articles
indexed by
Thomson ISI during May-June 2003. No other biology/biochemistry paper
published in the last two years,
aside from reviews, attracted a greater number of citations during that
two-month period. Prior to the most
recent bimonthly count, citations to the paper have accrued as follows:
March-April 2003: 58 citations
January-February 2003: 23
November-December 2002: 33
September-October 2002: 25
July-August 2002: 11
May-June 2002: 4
Total citations to date: 208
SOURCE: Hot
Papers Database (Included with a subscription to the ISI print newsletter Science
Watch®, available from the ISI
Research Services Group. Packaged on a CD-ROM that is mailed with each Science
Watch issue, the Hot
Papers Database contains data on hundreds of highly cited papers published
during the last two years. User interface permits searching by author,
organization, journal, field, and more. Total citations, as well as citations
accrued during successive bimonthly periods, can be assessed and graphed. An
updated CD containing the most recent bimonthly data is mailed with every new
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Watch,
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Watch
issue in HTML format, for personal desktop access.)
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