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The Journal of Physical Chemistry Letters|May 23, 2024
AI-Powered Knowledge Base Enables Transparent Prediction of Nanozyme Multiple Catalytic ActivityJulia Razlivina, Andrei Dmitrenko, Vladimir Vinogradov
Frontiers in Molecular Biosciences|October 28, 2022
A system suitability testing platform for untargeted, high-resolution mass spectrometryAndrei Dmitrenko, Michelle Reid, Nicola Zamboni
Bioinformatics (Oxford, England)|February 24, 2023
Regularized adversarial learning for normalization of multi-batch untargeted metabolomics dataAndrei Dmitrenko, Michelle Reid, Nicola Zamboni
ACS Applied Materials & Interfaces|February 17, 2025
Computer-Aided Discovery of Synergistic Drug-Nanoparticle Combinations for Enhanced Antimicrobial ActivitySusan Jyakhwo, Andrei Dmitrenko, Vladimir V Vinogradov
Journal of Cheminformatics|April 15, 2025
Integrating QSAR modelling with reinforcement learning for Syk inhibitor discoveryMaria Zavadskaya, Anastasia Orlova, Andrei Dmitrenko, et al.
Small (Weinheim an Der Bergstrasse, Germany)|September 29, 2023
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic NanoparticlesSusan Jyakhwo, Nikita Serov, Andrei Dmitrenko, et al.
Journal of Chemical Information and Modeling|August 27, 2025
Chemical Space Exploration and Reinforcement Learning for Discovery of Novel Benzimidazole Hybrid AntibioticsKarina Urazmanova, Anastasia Orlova, Anton Ber, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 11, 2023
Quantifying the Efficacy of Magnetic Nanoparticles for MRI and Hyperthermia Applications via Machine Learning MethodsPavel Kim, Nikita Serov, Aleksandra Falchevskaya, et al.
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