Predicting transcription factor affinities to DNA from a biophysical model

Helge G Roider, Aditi Kanhere, Thomas Manke, Martin Vingron

Research output: Contribution to journalArticlepeer-review

138 Citations (Scopus)

Abstract

Theoretical efforts to understand the regulation of gene expression are traditionally centered around the identification of transcription factor binding sites at specific DNA positions. More recently these efforts have been supplemented by experimental data for relative binding affinities of proteins to longer intergenic sequences. The question arises to what extent these two approaches converge. In this paper, we adopt a physical binding model to predict the relative binding affinity of a transcription factor for a given sequence.
Original languageEnglish
Pages (from-to)134-41
Number of pages8
JournalBioinformatics
Volume23
Issue number2
DOIs
Publication statusPublished - 2007

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