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Related Experiment Videos

ADSP--a new package for computational sequence analysis.

D J Parry-Smith1, T K Attwood

  • 1Department of Genetics, University of Leeds, UK.

Computer Applications in the Biosciences : CABIOS
|October 1, 1992
PubMed
Summary
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A new protein sequence analysis package, ADSP, aids in identifying protein patterns and superfamilies. It refines diagnostic performance for better characterization of protein sequences.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Sequence Analysis

Background:

  • Existing protein sequence analysis tools have limitations in comprehensive pattern recognition and superfamily characterization.
  • There is a need for integrated systems that can efficiently scan large sequence databases and identify complex protein features.

Purpose of the Study:

  • To introduce ADSP (Algorithms and Data Structures for Protein sequence analysis), a novel package for protein sequence analysis.
  • To describe the SOMAP (Screen-Oriented Multiple Alignment Procedure) as a key component of ADSP.
  • To highlight ADSP's capability in characterizing protein superfamilies and predicting related sub-families.

Main Methods:

  • Developed ADSP incorporating four algorithms for scanning NBRF format sequence databases.

Related Experiment Videos

  • Integrated ADSP with the OWL composite sequence database for efficient data retrieval.
  • Employed a compound feature analysis method for detailed characterization of protein sequences.

    • Main Results:

    • ADSP generates potent pattern-recognition discriminators for protein sequences.
    • The system effectively characterizes protein superfamilies and identifies emerging sub-families.
    • Iterative refinement of diagnostic performance allows for qualitative and quantitative assessment.

    Conclusions:

    • ADSP provides a powerful, integrated approach to protein sequence analysis.
    • The generated characteristic signatures are complementary to existing databases like PROSITE.
    • ADSP facilitates the generation of refined structural or functional features for database entry.