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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

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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.