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Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of functional regulatory elements in promoters of eukaryotic genes.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We present a method for precise prediction of a large group of transcription factor binding sites \u2013 steroid hormone response elements. We use a large training set of experimentally confirmed steroid hormone response elements, and adapt a sequence-based statistic method of position weight matrix, for identification of the binding sites in the query sequences. To estimate the accuracy level, a table of correspondence of sensitivity vs. specificity values is constructed from a number of independent tests. Furthermore, feed-forward neural network is used for cross-verification of the predicted response elements on genomic sequences.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The proposed method demonstrates high accuracy level, and therefore can be used for prediction of hormone response elements <jats:italic>de novo<\/jats:italic>. Experimental results support our analysis by showing significant improvement of the proposed method over previous HRE recognition methods.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-7-s4-s27","type":"journal-article","created":{"date-parts":[[2006,12,12]],"date-time":"2006-12-12T19:59:21Z","timestamp":1165953561000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["In silico modelling of hormone response elements"],"prefix":"10.1186","volume":"7","author":[{"given":"Maria","family":"Stepanova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valerie C-L","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,12,12]]},"reference":[{"key":"1350_CR1","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1038\/ncponc0172","volume":"2","author":"ED Canby-Hagino","year":"2005","unstructured":"Canby-Hagino ED, Thompson IM: Mechanisms of disease: Prostate cancer \u2013 a model for cancer chemoprevention in clinical practice. 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