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Identifying target sites for cooperatively binding factors.

D GuhaThakurta1, G D Stormo

  • 1Department of Genetics, Washington University School of Medicine, 4566 Scott Avenue, Campus Box: 8232, St Louis, MO 63110, USA. dg@genetics.wustl.edu

Bioinformatics (Oxford, England)
|July 13, 2001
PubMed
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We developed Co-Bind, a novel algorithm for discovering DNA binding sites for cooperatively acting transcription factors. This method efficiently identifies weak binding site patterns missed by other approaches.

Area of Science:

  • Computational Biology
  • Genomics
  • Bioinformatics

Background:

  • Eukaryotic transcriptional activation relies on multiple transcription factors acting combinatorially.
  • Existing methods struggle to identify binding site patterns for cooperatively acting factors.

Purpose of the Study:

  • To present Co-Bind, an algorithm for discovering DNA target sites for cooperatively acting transcription factors.
  • To model the cooperativity between two transcription factors for improved binding site identification.

Main Methods:

  • Utilizes a Gibbs sampling strategy to model transcription factor cooperativity.
  • Defines position weight matrices for transcription factor binding sites.
  • Incorporates both training set and whole genome sequences for pattern discrimination.

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Main Results:

  • Co-Bind efficiently identifies DNA target site patterns for cooperatively binding transcription factors.
  • Successfully identifies weak binding site patterns undetectable by other methods.
  • Demonstrated efficacy on both semi-synthetic and real biological data.

Conclusions:

  • Co-Bind is an effective tool for discovering cooperative transcription factor binding sites.
  • The algorithm's ability to model cooperativity enhances the identification of weak or complex binding patterns.
  • The methodology may be extendable to other sequence-specific interactions in macromolecules.