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A high level interface to SCOP and ASTRAL implemented in python.

James A Casbon1, Gavin E Crooks, Mansoor A S Saqi

  • 1Bioinformatics, Institute of Cell and Molecular Science, School of Medicine and Dentistry, Queen Mary, University of London, London EC1 6BQ, UK. j.a.casbon@qmul.ac.uk

BMC Bioinformatics
|January 13, 2006
PubMed
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This study introduces a Python API for the SCOP and ASTRAL databases, simplifying the creation of structural bioinformatics datasets. This tool enhances the principled analysis and generation of protein data for structural genomics research.

Area of Science:

  • Structural Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Benchmarking algorithms in structural bioinformatics relies on curated protein datasets.
  • The SCOP database classifies proteins by structural similarity.
  • ASTRAL provides non-redundant subsets of SCOP domains based on sequence similarity, serving as a 'ground truth' resource.

Purpose of the Study:

  • To develop a user-friendly Python API for accessing and manipulating SCOP and ASTRAL database information.
  • To facilitate the construction of specialized datasets for structural bioinformatics algorithm benchmarking.

Main Methods:

  • Design of Python modules offering an abstraction of the SCOP and ASTRAL databases.
  • Integration of these modules within the Biopython distribution.

Related Experiment Videos

  • Enabling programmatic access to SCOP hierarchy and ASTRAL domain sequences/clusters.

    • Main Results:

    • A functional Python API for interacting with SCOP and ASTRAL databases has been developed.
    • Users can now manipulate SCOP hierarchy and retrieve ASTRAL-derived data (sequences, clusters) directly within Python programs.
    • The API integrates seamlessly with the Biopython ecosystem.

    Conclusions:

    • The developed Python modules simplify and standardize the generation of datasets for structural genomics.
    • This facilitates more principled analysis and benchmarking of structural bioinformatics algorithms.
    • The API enhances accessibility to crucial structural biology data resources.