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Choi, Jieun, Lee, Juyong (2021) V-Dock: Fast Generation of Novel Drug-like Molecules Using Machine-Learning-Based Docking Score and Molecular Optimization. International Journal of Molecular Sciences, 22 (21) 11635pp. doi:10.3390/ijms222111635

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Reference TypeJournal (article/letter/editorial)
TitleV-Dock: Fast Generation of Novel Drug-like Molecules Using Machine-Learning-Based Docking Score and Molecular Optimization
JournalInternational Journal of Molecular Sciences
AuthorsChoi, JieunAuthor
Lee, JuyongAuthor
Year2021 (October 27)Volume22
Issue21
PublisherMDPI AG
DOIdoi:10.3390/ijms222111635Search in ResearchGate
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Mindat Ref. ID13706013Long-form Identifiermindat:1:5:13706013:1
GUID0
Full ReferenceChoi, Jieun, Lee, Juyong (2021) V-Dock: Fast Generation of Novel Drug-like Molecules Using Machine-Learning-Based Docking Score and Molecular Optimization. International Journal of Molecular Sciences, 22 (21) 11635pp. doi:10.3390/ijms222111635
Plain TextChoi, Jieun, Lee, Juyong (2021) V-Dock: Fast Generation of Novel Drug-like Molecules Using Machine-Learning-Based Docking Score and Molecular Optimization. International Journal of Molecular Sciences, 22 (21) 11635pp. doi:10.3390/ijms222111635
In(2021, November) International Journal of Molecular Sciences Vol. 22 (21) MDPI AG

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