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Mariia Matveieva

Showing results (1-10 of 5) with videos related to

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Journal of Cheminformatics|May 27, 2021
Benchmarks for interpretation of QSAR modelsMariia Matveieva, Pavel Polishchuk
Molecular Informatics|October 23, 2018
Interpretation of QSAR Models: Mining Structural Patterns Taking into Account Molecular ContextMariia Matveieva, Mark T D Cronin, Pavel Polishchuk
Molecular Informatics|October 8, 2020
The Influence of Structural Patterns on Acute Aquatic Toxicity of Organic CompoundsOleg Tinkov, Pavel Polishchuk, Mariia Matveieva, et al.
Journal of Chemical Information and Modeling|September 23, 2021
QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning ApproachDmitry V Zankov, Mariia Matveieva, Aleksandra V Nikonenko, et al.
Archiv Der Pharmazie|September 15, 2022
Anticancer 5-arylidene-2-(4-hydroxyphenyl)aminothiazol-4(5H)-ones as tubulin inhibitorsJiri Rehulka, Ivanna Subtelna, Anna Kryshchyshyn-Dylevych, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Cheminformatics|May 27, 2021
Benchmarks for interpretation of QSAR modelsMariia Matveieva, Pavel Polishchuk
Molecular Informatics|October 23, 2018
Interpretation of QSAR Models: Mining Structural Patterns Taking into Account Molecular ContextMariia Matveieva, Mark T D Cronin, Pavel Polishchuk
Molecular Informatics|October 8, 2020
The Influence of Structural Patterns on Acute Aquatic Toxicity of Organic CompoundsOleg Tinkov, Pavel Polishchuk, Mariia Matveieva, et al.
Journal of Chemical Information and Modeling|September 23, 2021
QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning ApproachDmitry V Zankov, Mariia Matveieva, Aleksandra V Nikonenko, et al.
Archiv Der Pharmazie|September 15, 2022
Anticancer 5-arylidene-2-(4-hydroxyphenyl)aminothiazol-4(5H)-ones as tubulin inhibitorsJiri Rehulka, Ivanna Subtelna, Anna Kryshchyshyn-Dylevych, et al.
Pageof 1