Concepedia
Statistics
Publications
2
Citations
116
H-Index
Active since
2021
Affiliations
Carnegie Mellon University(Current)
University of North Carolina at Chapel Hill
Enamine (Ukraine)
University of Oxford
Taras Shevchenko National University of Kyiv
Niles Huang is an author at Carnegie Mellon University specializing in deep learning, de novo drug design, and drug discovery.
Publications per year
2021–2022
Generative and reinforcement learning approaches for the automated de novo design of bioactive compounds
Maria Korshunova, Niles Huang, Stephen J. Capuzzi et al. · Communications Chemistry · 2022 · 104 citations · Full text
Pharmacy, Medicinal Chemistry, Drug Design +12
A Bag of Tricks for Automated De Novo Design of Molecules with the Desired Properties: Application to EGFR Inhibitor Discovery
Maria Korshunova, Niles Huang, Stephen J. Capuzzi et al. · ChemRxiv · 2021 · 12 citations · Full text
Pharmacy, Medicinal Chemistry, Computational Medicinal Chemistry +13
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