Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug di...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 12; no. 2; p. e1004760
Main Authors:	Liu, Yong, Wu, Min, Miao, Chunyan, Zhao, Peilin, Li, Xiao-Li
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 12.02.2016 Public Library of Science (PLoS)
Subjects:	Algorithms Biology and Life Sciences Competition Computational Biology - methods Computer and Information Sciences Datasets Drug Discovery - methods Drug interactions Drugs Enzymes Experiments Funding Ligands Logistics Mathematical models Matrices (Mathematics) Medicine and Health Sciences Methods Neighborhoods Performance evaluation Pharmaceutical Preparations - chemistry Pharmaceutical Preparations - metabolism Pharmaceutical sciences Pharmaceuticals Physical Sciences Proteins Proteins - chemistry Proteins - metabolism R&D Research & development Research and Analysis Methods Simulation Software
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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