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
T
Thomas Blaschke
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Thomas Blaschke is an academic researcher. 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 14, co-authored 28 publications.
ORCID: 0000-0003-2674-799XPapers 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
Memory-assisted reinforcement learning for diverse molecular de novo design
2020 · Journal of Cheminformatics · 126 citations
https://doi.org/10.1186/s13321-020-00473-0
Fine-tuning of a generative neural network for designing multi-target compounds
2021 · Journal of Computer-Aided Molecular Design · 30 citations
https://doi.org/10.1007/s10822-021-00392-8
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