Knowledge‐based three‐body potential for transcription factor binding site prediction. Issue 1 (1st February 2016)

• Record Type: Journal Article
• Authors: Qin, Wenyi; Zhao, Guijun; Carson, Matthew; Jia, Caiyan; Lu, Hui
• Is Part Of: IET systems biology. Volume 10:Issue 1(2016)
• Page Start: 23
• Page End: 29
• Publication Date: 2016-02-01
• Subjects: molecular biophysics -- DNA -- binding energy; knowledge‐based three‐body potential -- transcription factor -- binding site prediction -- structure‐based statistical potential -- TFBS prediction -- direct contact -- amino acids -- DNA bases -- neighbouring base -- two‐body potential -- binding energy prediction -- binding mutation prediction; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2014.0066
• Languages: English
• ISSNs: 1751-8849

Abstract

Abstract : A structure‐based statistical potential is developed for transcription factor binding site (TFBS) prediction. Besides the direct contact between amino acids from TFs and DNA bases, the authors also considered the influence of the neighbouring base. This three‐body potential showed better discriminate powers than the two‐body potential. They validate the performance of the potential in TFBS identification, binding energy prediction and binding mutation prediction.