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Phydbac "Gene Function Predictor": a gene annotation tool based on genomic context analysis.

François Enault1, Karsten Suhre, Jean-Michel Claverie

  • 1Structural and Genomic Information, CNRS-UPR 2589, 31 chemin Joseph Aiguier, 13009 Marseille, France. enault@igs.cnrs-mrs.fr

BMC Bioinformatics
|October 14, 2005
PubMed
Summary
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The Gene Function Predictor tool enhances prokaryotic protein functional association prediction using genomic context. It offers more accurate protein links and functional assignments than existing databases.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic context analysis leverages sequenced genomes to predict functional associations between prokaryotic proteins.
  • Key methods rely on gene proximity, correlated evolution, and gene fusion events.

Purpose of the Study:

  • To introduce the "Gene Function Predictor" tool for predicting functional associations between Escherichia coli K-12 proteins.
  • To evaluate the accuracy of predicted functional associations and Gene Ontology (GO) category assignments.

Main Methods:

  • Utilizes genomic context analysis, combining multiple prediction methods.
  • Integrates with the Phydbac web server for protein association predictions.
  • Provides predicted assignments to GO categories based on associated proteins.

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Main Results:

  • The "Gene Function Predictor" demonstrates higher accuracy in protein associations compared to established databases.
  • The tool generated 9,379 pairwise links with an expected success rate of at least 80%.
  • 6,466 functional predictions to GO terms achieved an accuracy higher than 70%.

Conclusions:

  • The "Gene Function Predictor" is an automated tool aiding biologists in functional prediction using genomic context.
  • It provides hypothetical functional predictions based on genomic characteristics.
  • The tool is accessible online for research use.