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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A Profile HMM for Recognition of Hormone Response Elements
verfasst von : Maria Stepanova, Feng Lin, Valerie C. -L. Lin
Erschienen in: Pattern Recognition in Bioinformatics
Verlag: Springer Berlin Heidelberg
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Steroid hormones are necessary for most vital functions of vertebrate organisms, and act within cells via interaction with their receptor molecules. Steroid hormone receptors are transcription factors. Identification of Hormone response elements (HREs) on DNA is essential for understanding the mechanism of gene regulation by steroid hormones. In this work we present a systematic approach for recognition of steroid HREs within promoters of vertebrate genomes, based on extensive experimental dataset and specifically reconstructed Profile Hidden Markov Model of putative HREs. The model can be trained for further prediction of HREs in promoters of hormone responsive genes, and therefore, investigation of direct targets for androgen, progesterone and glucocorticoid hormones. Additional documentation and supplementary data, as well as the web-based program developed for steroid HRE prediction are available at
http://birc.ntu.edu.sg/~pmaria
.