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WWW access to the SYSTERS protein sequence cluster set.

A Krause1, P Nicodème, E Bornberg-Bauer

  • 1Deutsches Krebsforschungszentrum, Theoretische Bioinformatik, INF 280, D-69120 Heidelberg, Germany. A.Krause@DKFZ-Heidelberg.de

Bioinformatics (Oxford, England)
|May 1, 1999
PubMed
Summary

A new web server provides access to the SYSTERS protein sequence clusters. Users can search these clusters with new sequences and view multiple alignments annotated with protein domain information.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • The SYSTERS protein cluster set, derived from SWISS-PROT and PIR databases, is a valuable resource for protein sequence analysis.
  • Access to curated protein databases and clustering information is crucial for understanding protein families and functions.

Purpose of the Study:

  • To introduce a novel web server for querying and browsing the SYSTERS protein cluster set.
  • To enable users to search the SYSTERS database with new protein sequences.
  • To provide annotated multiple sequence alignments for each cluster.

Main Methods:

  • Development of a web server interface for the SYSTERS cluster set.
  • Implementation of the SSMAL (Sequence Similarity Search using a Multiple Alignment Library) tool for sequence searching.

Related Experiment Videos

  • Generation and annotation of multiple sequence alignments using domain information from the Pfam database.

    • Main Results:

    • A publicly accessible web server is now available for the SYSTERS cluster set.
    • The server allows for efficient searching of protein sequences against the clustered database.
    • Each cluster includes a multiple alignment annotated with Pfam domain information, aiding functional inference.

    Conclusions:

    • The SYSTERS web server enhances accessibility and utility of protein cluster data.
    • This resource facilitates protein sequence analysis, comparison, and functional annotation.
    • The integration of search tools and domain information supports research in protein evolution and function.