Научные руководители
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Дмитренко Андрей Владимировичдоктор Структурное подразделение: химико-биологический кластер Должность: ведущий научный сотрудник Профиль: 1.4.5. - Хемоинформатика Область интересов: Генеративный молекулярный дизайн, предсказание свойств молекул и химических реакций, эффективные представления химических соединений. Рабочий язык: Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Dubrovsky I., Dmitrenko A., Dmitrenko A., Serov N., Vinogradov V. Unveiling the Potential of AI for Nanomaterial Morphology Prediction//Proceedings of Machine Learning Research, 2024, Vol. 235, pp. 11957-11978 | 2024 | Scopus, Web of Science |
| Razlivina J., Dmitrenko A., Vinogradov V. AI-Powered Knowledge Base Enables Transparent Prediction of Nanozyme Multiple Catalytic Activity//Journal of Physical Chemistry Letters, 2024, Vol. 15, No. 22, pp. 5804–5813 | 2024 | Scopus, Web of Science, Белый список |
| Jyakhwo S., Serov N., Dmitrenko A., Vinogradov V.V. Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles//Small, 2024, Vol. 20, No. 6, pp. 2305375 | 2024 | Scopus, Web of Science, Белый список |
| Odegova V., Lavrinenko A., Rakhmanov T., Sysuev G., Dmitrenko A., Vinogradov V. DESignSolvents: An Open Platform for the Search and Prediction of the Physicochemical Properties of Deep Eutectic Solvents//Green Chemistry, 2024, Vol. 26, No. 7, pp. 3958-3967 | 2024 | Scopus, Web of Science, Белый список |
| Dmitrenko A., Reid M., Zamboni N. Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data//Bioinformatics, 2023, Vol. 39, No. 3, pp. btad096 | 2023 | Scopus, Web of Science, Белый список |
| Serov N., Kim P., Falchevskaya A., Shabalkin I., Dmitrenko A., Kladko D., Vinogradov V. Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning Methods//Small, 2023, Vol. 19, No. 48, pp. 2303522 | 2023 | Scopus, Web of Science, Белый список |
| Dmitrenko A., Masiero M.M., Zamboni N. Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data//Proceedings of Machine Learning Research, 2022, Vol. 172, pp. 370-386 | 2022 | Scopus, Web of Science |
| Dmitrenko A., Reid M., Zamboni N. A system suitability testing platform for untargeted, high-resolution mass spectrometry//Frontiers in Molecular Biosciences, 2022, Vol. 9, pp. 1026184 | 2022 | Scopus, Web of Science |
| Dmitrenko A., Masiero M.M., Zamboni N. Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies//Proceedings of Machine Learning Research, 2022, Vol. 172, pp. 353-369 | 2022 | Scopus, Web of Science |