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Afisarea articolelor 1-4(4) pentru cuvîntul-cheie "machine learning"
Prediction of an Organic Compound’s Biotransformation Time: A Study Using Avermectins
Tinkov Oleg12, Grigorev Veniamin3, Grigoreva Ludmila D.4
1 T.G. Shevchenko State University of Pridnestrovie, Tiraspol,
2 Military Institute of the Ministry of Defense, Tiraspol,
3 Institute of Physiologically Active Compounds of Russian Academy of Sciences,
4 Lomonosov Moscow State University
Moscow University Chemistry Bulletin
Nr. 4(76) / 2021 / ISSN 0027-1314 /ISSNe 1935-0260
Disponibil online 23 December, 2021. Descarcări-1. Vizualizări-277
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Применение искусственного интеллекта для прогнозирования экотоксикологических характеристик авермектинов
Tinkov Oleg1, Grigorev Veniamin2, Liulenova Valentina3, Tihomirova O.4, Drinyaev V.4
1 Военный институт Министерства обороны, Тирасполь,
3 Приднестровский Государственный Университет им. Т.Г.Шевченко,
Biogeochemical innovations under the conditions of the biosphere technogenesis correction
Vol.1. 2020. Tiraspol. ISBN 978-9975-150-59-0.
Disponibil online 27 November, 2020. Descarcări-3. Vizualizări-549
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HDAC1 PREDICTOR: a simple and transparent application for virtual screening of histone deacetylase 1 inhibitors
Tinkov Oleg1, Grigorev Veniamin2, Grigoreva Ludmila D.3, Osipov Vasiliy4
1 T.G. Shevchenko State University of Pridnestrovie, Tiraspol,
2 Institute of Problems of Chemical Physics, Chernogolovka, Moscow Region,
3 Lomonosov Moscow State University,
4 N.N. Blokhin Russian Cancer Research Center, Ministry of Health of Russia, Moscow
SAR and QSAR in Environmental Research
Nr. 12(33) / 2022 / ISSN 1062-936X /ISSNe 1029-046X
Disponibil online 6 January, 2023. Descarcări-0. Vizualizări-271
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Effect of the structural factors of organic compounds on the acute toxicity toward Daphnia magna
Tinkov Oleg1, Grigorev Veniamin2, Razdolsky Alexander2, Grigoryeva L.3, Dearden John C.4
1 Military Institute of the Ministry of Defense, Tiraspol,
2 Institute of Physiologically Active Compounds of Russian Academy of Sciences,
3 Lomonosov Moscow State University,
SAR and QSAR in Environmental Research
Nr. 8(31) / 2020 / ISSN 1062-936X /ISSNe 1029-046X
Disponibil online 27 August, 2020. Descarcări-0. Vizualizări-455
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