TargetATPsite / TargetATP
TargetATP is a full-featured GUI application for targeting protein-ATP binding residues in protein sequences, consisting of two parts of local client and remote server.
TargetATPsite is a new sequence-based template-free predictor to identify the Adenosine-5′-triphosphate (ATP) binding sites with machine-learning approaches.
Pattern Recognition and Bioinformatics Group, Shanghai Jiao Tong University
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Dong-Jun Yu, Jun Hu, Zhen-Min Tang, Hong-Bin Shen, Jian Yang, and Jing-Yu Yang.
Improving Protein-ATP Binding Residues Prediction by Boosting SVMs with Random Under-Sampling.
Neurocomputing. 2013, 104: 189-199.
J Comput Chem. 2013 Apr 30;34(11):974-85. doi: 10.1002/jcc.23219. Epub 2013 Jan 3.
TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.
Yu DJ1, Hu J, Huang Y, Shen HB, Qi Y, Tang ZM, Yang JY.