Title
ProteDNA: a sequence-based predictor of sequence-specific DNA-binding residues in transcription factors.
Abstract
This article presents the design of a sequence-based predictor named ProteDNA for identifying the sequence-specific binding residues in a transcription factor (TF). Concerning protein-DNA interactions, there are two types of binding mechanisms involved, namely sequence-specific binding and nonspecific binding. Sequence-specific bindings occur between protein sidechains and nucleotide bases and correspond to sequence-specific recognition of genes. Therefore, sequence-specific bindings are essential for correct gene regulation. In this respect, ProteDNA is distinctive since it has been designed to identify sequence-specific binding residues. In order to accommodate users with different application needs, ProteDNA has been designed to operate under two modes, namely, the high-precision mode and the balanced mode. According to the experiments reported in this article, under the high-precision mode, ProteDNA has been able to deliver precision of 82.3%, specificity of 99.3%, sensitivity of 49.8% and accuracy of 96.5%. Meanwhile, under the balanced mode, ProteDNA has been able to deliver precision of 60.8%, specificity of 97.6%, sensitivity of 60.7% and accuracy of 95.4%. ProteDNA is available at the following websites: http://protedna.csbb.ntu.edu.tw/ http:// protedna.csie.ntu.edu.tw/ http://bio222.esoe.ntu.edu.tw/ProteDNA/.
Year
DOI
Venue
2009
10.1093/nar/gkp449
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
nucleotides,transcription factors,gene regulation,internet,dna,binding sites,transcription factor,dna binding proteins
Gene,Binding site,Biology,Nucleobase,Sequence-specific DNA binding,DNA-binding protein,Regulation of gene expression,DNA,Genetics,Molecular biology,Transcription factor
Journal
Volume
Issue
ISSN
37
SUPnan
0305-1048
Citations 
PageRank 
References 
12
0.63
10
Authors
6
Name
Order
Citations
PageRank
Wenyi Chu1151.50
Yu-Feng Huang2222.38
Chun-Chin Huang3120.63
Yi-Sheng Cheng4120.63
Chien-Kang Huang515011.52
Yen-Jen Oyang642348.82