Weighted feature value based Drug Target Protein prediction
by Bo-ra Hyun, Hwiesung Jung, Woo-Hyuk Jang, Suk Hoon Jung, Dong-Soo Han
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 1, No. 4, 2008

Abstract: Drug discovery is a long process in which only a few successful new therapeutic discoveries are made and identification of drug target candidate proteins requires considerable time and efforts. However, the accumulation of information on drugs has made it possible to devise new computational methods for classifying drug target candidates. In this paper, we devise a Drug Target Protein (DT-P) classification method by the summation of weighted features which is extracted from known DT-P. The method is validated using Bayesian decision theory and SVM, and it was revealed to achieve high specificity of 89.5% with 88% accuracy.

Online publication date: Mon, 22-Dec-2008

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