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Related Experiment Videos

Protein folds, functions and evolution.

J M Thornton1, C A Orengo, A E Todd

  • 1Biochemistry and Molecular Biology Department, University College London, University of London, Gower Street, London, WC1E 6BT, UK. thornton@biochem.ucl.ac.uk

Journal of Molecular Biology
|October 26, 1999
PubMed
Summary
This summary is machine-generated.

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Protein structural evolution reveals hidden relationships. Structural data is key to understanding protein families, their functions, and biological complexity, aiding future molecular design.

Area of Science:

  • Structural biology
  • Protein evolution
  • Bioinformatics

Background:

  • Protein domain families exhibit unequal distribution across major classes.
  • Over 700 protein folds and 32 architectures are currently documented.
  • The discovery of new protein topologies continues, albeit at a slower rate than structure determination.

Purpose of the Study:

  • To review protein evolution and function from a structural perspective using current databases.
  • To analyze the relationship between protein structure, family distribution, and function.
  • To forecast the future development of protein family classification based on structural insights.

Main Methods:

  • Analysis of protein domain family distribution across structural classes.
  • Examination of protein fold and architecture diversity.

Related Experiment Videos

  • Integration of structural data with genomic information for functional classification.

    • Main Results:

    • Protein domain families are unequally distributed among the three major structural classes.
    • Unexpected conservation and divergence of protein function are observed within and between families.
    • Structural data reveals relationships not apparent at the sequence level.

    Conclusions:

    • Structural data is crucial for a comprehensive understanding of protein families and their functions.
    • The ongoing compilation of a structural dictionary of protein families will enhance our understanding of biological complexity.
    • Structural insights are expected to facilitate rational molecular design.