The rise of deep learning in drug discovery
2018 · Drug Discovery Today · 1,677 citations
https://doi.org/10.1016/j.drudis.2018.01.039
H
Hongming Chen
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Hongming Chen is an academic researcher from Guangdong Pharmaceutical University. The author has contributed to research in topics: Computational Drug Discovery Methods & Machine Learning in Materials Science & Protein Structure and Dynamics. The author has an h-index of 38, co-authored 135 publications.
ORCID: 0000-0002-4470-876XPapers by this author
worksMolecular de-novo design through deep reinforcement learning
2017 · Journal of Cheminformatics · 1,343 citations
https://doi.org/10.1186/s13321-017-0235-x
Randomized SMILES strings improve the quality of molecular generative models
2019 · Journal of Cheminformatics · 387 citations
https://doi.org/10.1186/s13321-019-0393-0
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
2017 · Journal of Cheminformatics · 235 citations
https://doi.org/10.1186/s13321-017-0203-5
SMILES-based deep generative scaffold decorator for de-novo drug design
2020 · Journal of Cheminformatics · 200 citations
https://doi.org/10.1186/s13321-020-00441-8
Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research
2019 · Frontiers in Pharmacology · 54 citations
https://doi.org/10.3389/fphar.2019.01303
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