id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-000182-ni6iyzdn	He, Zhisong	Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features	2010-03-11		.txt	text/plain	6037	305	46	title: Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features Many researchers have made lots of efforts to develop useful algorithms and softwares to investigate various drug-related biological problems, such as HIV protease cleavage site prediction [18, 19] , identification of GPCR (G protein-coupled receptors) type [20, 21] , protein signal peptide prediction [22] , protein subcellular location prediction [23, 24, 25] , analysis of specificity of GalNAc-transferase protein [26] , identification of protease type [27, 28] , membrane protein type prediction [29, 30, 31, 32] , and a series of relevant webserver predictors as summarized in a recent review [33] . The drug-target benchmark datasets thus obtained for enzymes, ion-channels, GPCRs, and nuclear receptors are given in Online Supporting Information S1, S2, S3, and S4, respectively. Prediction of G-protein-coupled receptor classes based on the concept of Chou's pseudo amino acid composition: an approach from discrete wavelet transform	./cache/cord-000182-ni6iyzdn.txt	./txt/cord-000182-ni6iyzdn.txt