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Related Experiment Videos

ASTRAL compendium enhancements.

John-Marc Chandonia1, Nigel S Walker, Loredana Lo Conte

  • 1Berkeley Structural Genomics Center, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Nucleic Acids Research
|December 26, 2001
PubMed
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The ASTRAL compendium now offers double the protein domain sequences and new databases for structural analysis. These resources aid in studying protein sequences and domain structures, enhancing bioinformatics research.

Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Biology

Background:

  • The ASTRAL compendium is a valuable resource for analyzing protein structures using sequence data.
  • It is derived from the SCOP database and provides sequences for protein domains.
  • Previous versions have been available for two years.

Purpose of the Study:

  • To detail the significant updates and improvements made to the ASTRAL compendium.
  • To highlight new databases and expanded sequence data for protein structure analysis.
  • To introduce the Rapid Access Format (RAF) database and its utility.

Main Methods:

  • Expanded the protein domain sequence count from 15,190 to 30,867.
  • Integrated additional databases, including the Rapid Access Format (RAF).

Related Experiment Videos

  • Developed a method for creating 'genetic domain' sequences from multi-chain SCOP domains.
  • Main Results:

    • The ASTRAL compendium's size has doubled, offering a more comprehensive dataset.
    • The RAF database provides curated mappings for rapid automated analysis of protein sequences.
    • New libraries include both original SCOP sequences and novel genetic domain sequences.
    • Representative subsets based on similarity criteria are now available.

    Conclusions:

    • The updated ASTRAL compendium offers enhanced resources for protein sequence and structure analysis.
    • The inclusion of genetic domain sequences and the RAF database improves data accessibility and utility.
    • ASTRAL continues to be a crucial tool for researchers in structural bioinformatics.