Deep-Learning-Based Drug-Target Interaction Prediction

Journal of Proteome Research

Volumn 16, Issue 4, 2017, Pages 1401-1409

  Wen, Ming ^a   Zhang, Zhimin ^a   Niu, Shaoyu ^a   Sha, Haozhi ^a   Yang, Ruihan ^a   Yun, Yonghuan ^b   Lu, Hongmei ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b INSTITUTE OF TROPICAL BIOSCIENCE AND BIOTECHNOLOGY   (China)

Author keywords

deep learning; deep delief network; drug target interaction prediction; feature extraction; semisupervised learning

Indexed keywords

NEW DRUG; PROTEIN;

ALGORITHM; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; COMPUTER MODEL; DECISION TREE; DRUG DEVELOPMENT; DRUG INTERACTION; DRUG PROTEIN BINDING; DRUG REPOSITIONING; DRUG STRUCTURE; MACHINE LEARNING; PARTITION COEFFICIENT; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RANDOM FOREST; CHEMISTRY; COMPUTER SIMULATION; DRUG DATABASE; GENETICS; HUMAN; MOLECULARLY TARGETED THERAPY; THEORETICAL MODEL;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SIMULATION; DATABASES, PHARMACEUTICAL; DRUG DISCOVERY; DRUG INTERACTIONS; HUMANS; MODELS, THEORETICAL; MOLECULAR TARGETED THERAPY; PROTEINS;

EID: 85017108822     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/acs.jproteome.6b00618     Document Type: Article

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