id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-001244-qdld7hdc	Fan, Yue-Nong	iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking	2014-03-19		.txt	text/plain	6502	339	46	In the predictor, the drug compound concerned was formulated by a 256-D (dimensional) vector derived from its molecular fingerprint, and the NR by a 500-D vector formed by incorporating its sequential evolution information and physicochemical features into the general form of pseudo amino acid composition, and the prediction engine was operated by the SVM (support vector machine) algorithm. [59] did not provide a publicly accessible web-server for their method, and hence its practical application value is quite limited, particularly for the broad experimental scientists; (b) The prediction quality can be further enhanced by incorporating some key features into the formulation of NR-drug (nuclear receptor and drug) samples via the general form of pseudo amino acid composition [60] . 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-001244-qdld7hdc.txt	./txt/cord-001244-qdld7hdc.txt