4.4 Article

Knowledge-based three-body potential for transcription factor binding site prediction

Journal

IET SYSTEMS BIOLOGY
Volume 10, Issue 1, Pages 23-29

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-syb.2014.0066

Keywords

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

Funding

  1. National Natural Science Foundation of China [31071167, 31370751]
  2. National Natural Science Foundation of China [31071167, 31370751]

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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.

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