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Maksym Druchok

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2020 – today

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2024
[j4]
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  - journals/jcc/RovenchakD24
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  - https://dblp.org/rec/journals/jcc/RovenchakD24
Andrij A. Rovenchak, Maksym Druchok:
Machine learning-assisted search for novel coagulants: When machine learning can be efficient even if data availability is low. J. Comput. Chem. 45(13): 937-952 (2024)
2022
[j3]
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  - journals/jcc/NikolaienkoGD22
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Tymofii Yu. Nikolaienko, Oleksandr Gurbych, Maksym Druchok:
Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network. J. Comput. Chem. 43(10): 728-739 (2022)
2021
[j2]
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Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot, Tymofii Yu. Nikolaienko, Oleksandr Gurbych:
Ensembling machine learning models to boost molecular affinity prediction. Comput. Biol. Chem. 93: 107529 (2021)
[j1]
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Maksym Druchok, Dzvenymyra Yarish, Oleksandr Gurbych, Mykola Maksymenko:
Toward efficient generation, correction, and properties control of unique drug-like structures. J. Comput. Chem. 42(11): 746-760 (2021)
2020
[c1]
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  - conf/vrst/FrishDS20
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Semen Frish, Maksym Druchok, Hlib Shchur:
Molecular MR Multiplayer: a cross-platform collaborative interactive game for scientists. VRST 2020: 65:1-65:2
[i1]
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  - journals/corr/abs-2012-08275
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Oleksandr Gurbych, Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot:
High throughput screening with machine learning. CoRR abs/2012.08275 (2020)

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