Using deep learning for compound selectivity prediction

Current Computer-Aided Drug Design

Volumn 12, Issue 1, 2016, Pages 5-14

  Zhang, Ruisheng ^a   Li, Juan ^a   Lu, Jingjing ^a   Hu, Rongjing ^a   Yuan, Yongna ^a   Zhao, Zhili ^a  

^a LANZHOU UNIVERSITY   (China)

Author keywords

Compound selectivity; Deep belief networks; Multitask learning; Neural network

Indexed keywords

BAYESIAN NETWORKS; DEEP LEARNING;

COMPOUND SELECTIVITY; COMPUTATIONAL APPROACH; DEEP BELIEF NETWORKS; HIGH AFFINITY; LEARNING METHODS; LOGISTICS REGRESSIONS; MULTITASK LEARNING; NEURAL-NETWORKS; PROBABILISTIC CLASSIFIERS; TARGETS OF INTEREST;

FORECASTING;

CLASSIFIER; LEARNING; LOGISTIC REGRESSION ANALYSIS; MODEL; NERVOUS SYSTEM; PREDICTION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER AIDED DESIGN; DRUG DESIGN; MACHINE LEARNING; PROBABILITY;

ALGORITHMS; COMPUTER-AIDED DESIGN; DRUG DESIGN; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER); PROBABILITY;

EID: 84964091167     PISSN: 15734099     EISSN: 18756697     Source Type: Journal    
DOI: 10.2174/1573409912666160219113250     Document Type: Article

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