review Open AccessTop 1% cited
Advancing Drug Discovery via Artificial Intelligence
Trends in Pharmacological Sciences · 2019 · Vol. 40(8) · pp. 592–604
H. C. Stephen Chan(Chinese Academy of Sciences)Hanbin Shan(Shanghai Institute of Pharmaceutical Industry)Thamani Dahoun(École Polytechnique Fédérale de Lausanne)Horst Vogel(École Polytechnique Fédérale de Lausanne)Shuguang Yuan✉(Chinese Academy of Sciences)
Computational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical ResearchCell Image Analysis TechniquesDrug discoveryCognitive sciencePsychologyArtificial intelligenceData scienceComputer scienceBioinformaticsBiology
MeSH terms
AnimalsArtificial IntelligencePharmaceutical PreparationsHumansPharmacologyQuantitative Structure-Activity RelationshipDrug DiscoveryTranslational Research, Biomedical
Citations
624
FWCI
44.53
field-weighted impact
References
116
Percentile
100%
vs. same field & year
Citations per year
References
Artificial intelligence: a modern approach
Choice Reviews Online · 1995 · 22,209 citations
Mastering the game of Go with deep neural networks and tree search
Nature · 2016 · 15,578 citations
ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
Chemical Science · 2017 · 1,981 citations
Neural‐Symbolic Machine Learning for Retrosynthesis and Reaction Prediction
Chemistry - A European Journal · 2017 · 608 citations
MoleculeNet: a benchmark for molecular machine learning
Chemical Science · 2017 · 2,817 citations
Deep reinforcement learning for de novo drug design
Science Advances · 2018 · 1,110 citations
Deep learning
Nature · 2015 · 79,164 citations
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