Machine learning-driven identification of multi-targeted lead compounds among 5,6-dihydrotetrazolo[1,5-c]quinazolines for neurodegenerative and neglected tropical diseases

dc.contributor.authorAntypenko, L. M.
dc.contributor.authorAntypenko, O. M.
dc.contributor.authorАнтипенко, Олексій Миколайович
dc.date.accessioned2025-01-15T07:21:05Z
dc.date.available2025-01-15T07:21:05Z
dc.date.issued2024
dc.description.abstractIn the rapidly advancing field of drug discovery and development, computational methods have become indispensable tools for accelerating the identification and optimization of potential drug candidates.uk_UK
dc.identifier.citationAntypenko L. M. Machine learning-driven identification of multi-targeted lead compounds among 5,6-dihydrotetrazolo[1,5-c]quinazolines for neurodegenerative and neglected tropical diseases / L. M. Antypenko, O. M. Antypenko // Сучасні напрями змін в управлінні охороною здоров’я: модернізація, якість, комунікація : зб. матеріалів Міжнар. наук. конф. м. Одеса, 31 трав. 2024 р. - Львів - Торунь : Liha-Pres, 2024. - С. 155-158. - https://doi.org/10.36059/978-966-397-406-4-41.uk_UK
dc.identifier.urihttps://zsmu.rosbai.com/handle/123456789/21662
dc.language.isoukruk_UK
dc.subjectтези доповідейuk_UK
dc.titleMachine learning-driven identification of multi-targeted lead compounds among 5,6-dihydrotetrazolo[1,5-c]quinazolines for neurodegenerative and neglected tropical diseasesuk_UK
dc.typeOtheruk_UK

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