review Open AccessTop 1% cited
Applications of machine learning in drug discovery and development
Nature Reviews Drug Discovery · 2019 · Vol. 18(6) · pp. 463–477
Jessica Vamathevan✉(European Bioinformatics Institute)Dominic A. Clark(European Bioinformatics Institute)Paul Czodrowski(TU Dortmund University)Ian Dunham(European Bioinformatics Institute)Edgardo A. Ferrán(European Bioinformatics Institute)George Lee(Bristol-Myers Squibb (United States))Bin Li(Takeda (United States))Anant Madabhushi(Louis Stokes Cleveland VA Medical Center)Parantu K. Shah(Ono Pharmaceutical (United States))Michaela Spitzer(European Bioinformatics Institute)Shanrong Zhao(Pfizer (United States))
Computational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical ResearchCell Image Analysis TechniquesComputer scienceMachine learningInterpretabilityDrug discoveryArtificial intelligencePipeline (software)Identification (biology)Context (archaeology)Data scienceField (mathematics)
MeSH terms
Machine LearningAnimalsHumansDrug DesignNeural Networks, ComputerDrug Discovery
Citations
2,772
FWCI
194.27
field-weighted impact
References
116
Percentile
100%
vs. same field & year
Citations per year
Cited by
AI in drug discovery and its clinical relevance
Heliyon · 2023 · 253 citations
References
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
Science Translational Medicine · 2011 · 786 citations
Relating protein pharmacology by ligand chemistry
Nature Biotechnology · 2007 · 2,328 citations
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
IEEE Transactions on Medical Imaging · 2017 · 1,776 citations
MoleculeNet: a benchmark for molecular machine learning
Chemical Science · 2017 · 2,817 citations
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Nature Medicine · 2018 · 2,777 citations
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Cell Reports · 2018 · 1,017 citations
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Chemical Science · 2018 · 589 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.