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Structural genomics: computational methods for structure analysis.

Sharon Goldsmith-Fischman1, Barry Honig

  • 1Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York 10032, USA.

Protein Science : a Publication of the Protein Society
|August 22, 2003
PubMed
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Structural genomics requires advanced tools for analyzing and predicting protein structures. This review covers structure alignment, homology modeling, and function prediction, enhancing biological research integration.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Genomics

Background:

  • Structural genomics initiatives depend on effective tools for analyzing, predicting, and annotating protein structures.
  • Developing and applying these tools is crucial for advancing biological research and understanding protein function.

Purpose of the Study:

  • To review recent advancements in tools for protein structure analysis, prediction, and annotation.
  • To discuss the rationales behind structural genomics, including clustering sequence space and genome-wide function assignment.
  • To explore the integration of structural genomics into traditional biological research.

Main Methods:

  • Review of recent developments in structure alignment.
  • Analysis of techniques for detecting remote protein homologs and analogs.

Related Experiment Videos

  • Examination of homology modeling approaches.
  • Discussion of methods for predicting protein function from structure.

    • Main Results:

    • Recent progress in structure alignment and remote homology detection has been reviewed.
    • Homology modeling techniques and structure-based function prediction methods are discussed.
    • Various rationales for structural genomics, such as sequence space clustering and function assignment, are presented.

    Conclusions:

    • Effective tools for structure analysis, prediction, and annotation are vital for structural genomics success.
    • Structural genomics can be integrated with traditional biological research by incorporating specific biological questions into target selection.
    • Advancements in these areas facilitate genome-wide function assignment and a deeper understanding of biological systems.