Open AccessKnowledge‐based three‐body potential for transcription factor binding site prediction
Author(s) -
Qin Wenyi,
Zhao Guijun,
Carson Matthew,
Jia Caiyan,
Lu Hui
Publication year - 2016
Publication title -
iet systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.367
H-Index - 50
eISSN - 1751-8857
pISSN - 1751-8849
DOI - 10.1049/iet-syb.2014.0066
Subject(s) - dna binding site , transcription factor , binding site , computational biology , statistical potential , identification (biology) , genetics , computer science , biology , protein structure prediction , protein structure , promoter , gene , gene expression , ecology , biochemistry
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.