Identify DNA-binding proteins with optimal Chou's amino acid composition.
DNA-binding proteins play an important role in most cellular processes, such as gene regulation, recombination, repair, replication, and DNA modification. In this article, an optimal Chou's pseudo amino acid composition (PseAAC) based on physicochemical characters of amino acid is proposed to represent proteins for identifying DNAbinding proteins. Six physicochemical characters of amino acids are utilized to generate the sequence features via the web server PseAAC. The optimal values of two important parameters (correlation factor δ and weighting factor w) about PseAAC are determined to get the appropriate representation of proteins, which ultimately result in better prediction performance. Experimental results on the benchmark datasets using random forest show that our method is really promising to predict DNA-binding proteins and may at least be a useful supplement tool to existing methods.
School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Xiao-Wei
XW
Zhao
Xiang-Tao
XT
Li
Zhi-Qiang
ZQ
Ma
Ming-Hao
MH
Yin
D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry; D019295:Computational Biology; D004268:DNA-Binding Proteins / Q000737:chemistry* / Q000145:classification; D030562:Databases, Protein; D008962:Models, Theoretical
D000596:Amino Acids; D004268:DNA-Binding Proteins