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Predicting Pol II promoter sequences using transcription factor binding sites
1Molecular Biology Computing Center, University of Minnesota, St Paul 55108, USA.
Journal of Molecular Biology
|June 23, 1995
Summary
A new computer program, PROMOTER SCAN, accurately identifies RNA Polymerase II (Pol II) promoter sequences with a low false positive rate. This tool aids in understanding gene regulation by distinguishing functional promoter regions from non-promoter DNA.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Biology
Background:
- Identifying functional DNA sequences is crucial for understanding gene regulation.
- RNA Polymerase II (Pol II) promoters are key regulatory elements controlling gene transcription.
- Accurate computational tools are needed to distinguish promoter sequences from non-promoter sequences.
Purpose of the Study:
- To develop and evaluate a computer program, PROMOTER SCAN, for high-accuracy recognition of Pol II promoter sequences.
- To minimize the rate of false positives when identifying promoter regions.
Main Methods:
- Analysis of 167 primate Pol II promoter sequences and 999 non-promoter sequences.
- Comparative density analysis of transcription factor binding sites in promoter versus non-promoter sequences.
- Development of a Promoter Recognition Profile and weighted matrix for TATA box scoring.
Main Results:
- PROMOTER SCAN achieved high accuracy in identifying Pol II promoter sequences.
- A promoter cutoff score correctly recognized 70% of promoters.
- A low false positive rate of approximately 1/5600 bases was observed in non-promoter sequences.
Conclusions:
- PROMOTER SCAN demonstrates significant potential for accurate Pol II promoter identification.
- The program effectively discriminates between promoter and non-promoter sequences.
- PROMOTER SCAN is being prepared for public release to facilitate research.