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Related Experiment Videos

Structuring the universe of proteins.

Stephen K Burley1, Jeffrey B Bonanno

  • 1Howard Hughes Medical Institute, Laboratories of Molecular Biophysics, The Rockefeller University, New York New York 10021, USA. stephen_burley@stromix.com

Annual Review of Genomics and Human Genetics
|August 27, 2002
PubMed
Summary

Structural genomics initiatives aim to map the 3D protein structure universe using high-throughput methods. This research will yield thousands of protein structures, advancing our understanding of biology, evolution, and human health.

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Area of Science:

  • Structural Biology
  • Genomics
  • Computational Biology

Background:

  • High-throughput sequencing of genomes provides a foundation for large-scale biological studies.
  • Understanding protein structures is crucial for deciphering biological functions and evolutionary relationships.

Purpose of the Study:

  • To establish a comprehensive three-dimensional view of the protein structure universe.
  • To explore the evolutionary underpinnings and technological challenges in structural genomics.
  • To demonstrate how structural genomics pipelines reveal links between protein form, function, and human health.

Main Methods:

  • High-throughput structural studies integrating X-ray crystallography, NMR spectroscopy, and computational biology.
  • Automation of target selection, protein expression, purification, and sample preparation.

Related Experiment Videos

  • NMR and X-ray data measurement and analysis, homology modeling, and structure/function annotation.
  • Main Results:

    • The promise of generating over 10,000 experimental protein structures.
    • The potential for creating millions of calculated homology models for related proteins.
    • A case study illustrating the experimental/computational pipeline's effectiveness.

    Conclusions:

    • Structural genomics is a major 'big science' initiative in biology.
    • This approach will provide critical insights into evolution, human health, and disease.
    • The integration of experimental and computational methods is key to advancing structural biology.