Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

Chemical Science

Volumn 9, Issue 24, 2018, Pages 5441-5451

  Mayr, Andreas ^a   Klambauer, Günter ^a   Unterthiner, Thomas ^a   Steijaert, Marvin ^b   Wegner, Jörg K ^c   Ceulemans, Hugo ^c   Clevert, Djork Arné ^d   Hochreiter, Sepp ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b Open Analytics   (Belgium)

^c Janssen Pharmaceutica NV   (Belgium)

^d BAYER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING;

DRUG DISCOVERY RESEARCHES; LARGE-SCALE STUDIES; LEARNING ARCHITECTURES; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; POTENTIAL DRUG TARGETS; PREDICTIVE PERFORMANCE; TARGET PREDICTION;

DEEP LEARNING;

EID: 85048973903     PISSN: 20416520     EISSN: 20416539     Source Type: Journal    
DOI: 10.1039/c8sc00148k     Document Type: Article

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