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Protein structure prediction in the postgenomic era.

D T Jones1

  • 1Department of Biological Sciences, Brunel University, Uxbridge, UB8 3PH, UK. David.Jones@brunel.ac.uk.

Current Opinion in Structural Biology
|June 14, 2000
PubMed
Summary

As genome sequencing expands, identifying gene functions is crucial. This study surveys protein structure prediction methods to assess their reliability for determining gene function.

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Area of Science:

  • Genomics
  • Proteomics
  • Bioinformatics

Background:

  • The rapid increase in sequenced genomes presents the challenge of identifying gene functions.
  • Protein structure prediction is a key strategy for inferring protein function.
  • Existing methods for protein structure prediction have varying degrees of reliability.

Purpose of the Study:

  • To evaluate the reliability of different protein structure prediction techniques.
  • To provide insights into the effectiveness of computational methods for gene function identification.

Main Methods:

  • Survey and analysis of existing protein structure prediction algorithms.
  • Assessment of prediction accuracy and limitations.

Main Results:

  • Protein structure prediction offers valuable clues for gene function identification.
  • The reliability of prediction techniques varies, impacting their utility.
  • Understanding these limitations is essential for accurate functional annotation.

Conclusions:

  • Protein structure prediction is a vital tool in postgenomic research.
  • Further refinement of prediction methods is needed to overcome current limitations.
  • Reliability assessment guides the selection of appropriate methods for gene function discovery.

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