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The PIR-International Protein Sequence Database

  • Winona C. Barker
  • , John S. Garavelli
  • , Peter B. McGarvey
  • , Christopher R. Marzec
  • , Bruce C. Orcutt
  • , Geetha Y. Srinivasarao
  • , Lai Su L. Yeh
  • , Robert S. Ledley
  • , Hans Werner Mewes
  • , Friedhelm Pfeiffer
  • , Akira Tsugita
  • , Cathy Wu
  • Natl. Biomedical Research Foundation
  • Max Planck Institute of Biochemistry
  • Tokyo University of Science
  • Univ. of Texas Hlth. Center at Tyler

Research output: Contribution to journalShort surveypeer-review

93 Scopus citations

Abstract

The Protein Information Resource (PIR; http://www-nbrf.georgetown.edu/pir/) supports research on molecular evolution, functional genomics, and computational biology by maintaining a comprehensive, non-redundant, well-organized and freely available protein sequence database. Since 1988 the database has been maintained collaboratively by PIR-International, an international association of data collection centers cooperating to develop this resource during a period of explosive growth in new sequence data and new computer technologies. The PIR Protein Sequence Database entries are classified into superfamilies, families and homology domains, for which sequence alignments are available. Full-scale family classification supports comparative genomics research, aids sequence annotation, assists database organization and improves database integrity. The PIR WWW server supports direct on-line sequence similarity searches, information retrieval, and knowledge discovery by providing the Protein Sequence Database and other supplementary databases. Sequence entries are extensively cross-referenced and hypertext-linked to major nucleic acid, literature, genome, structure, sequence alignment and family databases. The weekly release of the Protein Sequence Database can be accessed through the PIR Web site. The quarterly release of the database is freely available from our anonymous FTP server and is also available on CD-ROM with the accompanying ATLAS database search program.

Original languageEnglish
Pages (from-to)39-43
Number of pages5
JournalNucleic Acids Research
Volume27
Issue number1
DOIs
StatePublished - 1 Jan 1999
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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