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Related Experiment Videos

New tools and resources for analysing protein structures and their interactions.

N M Luscombe1, R A Laskowski, D R Westhead

  • 1Biomolecular Structure and Modelling Unit, Department of Biochemistry and Molecular Biology, University College, Gower Street, London WC1E 6BT, England.

Acta Crystallographica. Section D, Biological Crystallography
|March 25, 1999
PubMed
Summary

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New software tools simplify the analysis of protein structures. These resources, including PDBsum and TOPS, aid researchers in studying protein topology and interactions.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational chemistry

Background:

  • Protein structure determination is crucial for understanding protein function.
  • The Protein Data Bank (PDB) contains a vast number of protein structures.
  • Efficient tools are needed to analyze these large datasets.

Purpose of the Study:

  • To present new software tools for detailed protein structure analysis.
  • To facilitate the study of protein topology, DNA-binding, and protein-protein interactions.
  • To provide accessible web-based resources for structural bioinformatics.

Main Methods:

  • Development of the PDBsum website for summarizing PDB entries.
  • Implementation of TOPS and NUCPLOT programs for schematic diagram generation.

Related Experiment Videos

  • Creation of SAS, a web-based sequence analysis tool with structural data integration.
  • Establishment of WWW servers for analyzing protein interfaces and haem-binding proteins.
  • Main Results:

    • PDBsum offers comprehensive summaries of all PDB entries.
    • TOPS and NUCPLOT visualize protein topology and DNA interactions.
    • SAS integrates structural data into sequence analysis.
    • Specialized servers enable detailed analysis of protein interfaces and haem-binding proteins.

    Conclusions:

    • The presented software tools enhance the accessibility and depth of protein structure analysis.
    • These resources streamline the investigation of protein structure-function relationships.
    • The developed tools support researchers in structural biology and bioinformatics.