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Functional annotation of proteomic sequences based on consensus of sequence and structural analysis.

David H Kitson1, Azat Badretdinov, Zhan-yang Zhu

  • 1Life Sciences Marketing Group of Accelrys Inc, Cambridge, UK. dkitson@accelrys.com

Briefings in Bioinformatics
|May 11, 2002
PubMed
Summary

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GeneAtlas predicts protein function and structure genome-wide. This automated pipeline identifies novel drug targets by detecting protein relationships missed by sequence similarity alone.

Area of Science:

  • Genomics
  • Structural Biology
  • Drug Discovery

Background:

  • Accurate protein function assignment is crucial for understanding biological systems and identifying novel drug targets.
  • Genome-wide prediction of protein function requires sensitive and high-throughput methods.

Purpose of the Study:

  • To develop and evaluate GeneAtlas, an automated pipeline for predicting protein structure and function.
  • To assess GeneAtlas's ability to identify functional relationships beyond sequence similarity.

Main Methods:

  • GeneAtlas utilizes sequence similarity detection, homology modeling, and fold recognition.
  • A 'virtual' genome (SCOP database subset) with known functional relationships was used for testing.
  • Comparison with PSI-BLAST (a sequence searching method) was performed.

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Main Results:

  • GeneAtlas successfully predicted protein structure and function.
  • The pipeline identified additional functional relationships compared to sequence similarity methods.
  • GeneAtlas correctly recognized functionally related proteins with low sequence identity (below the twilight zone).

Conclusions:

  • GeneAtlas is an effective automated pipeline for genome-wide protein function prediction.
  • The method enhances the discovery of novel drug targets by uncovering subtle protein relationships.
  • GeneAtlas offers a sensitive approach for functional genomics and structural biology research.