Kyrylenko, Roman
Receptor.AI Inc., 20-22 Wenlock Road, London N1 7GU, United Kingdom
3 papers on CoChatORCID 0009-0009-4092-755X
Most cited papers
- Verified
ArtiDock: accurate Machine Learning approach to protein-ligand docking optimized for high-throughput virtual screening
Voitsitskyi, T., Koleiev, I., Stratiichuk, R., Kot, O., Kyrylenko, R., Savchenko, I., Husak, V., Yesylevskyy, S., Starosyla, S., & Nafiiev, A. (2024) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsProtein Structure and Dynamics
Cited by 8
- Verified
Sampling and ranking of protein conformations using machine learning techniques do not improve the quality of rigid protein-protein docking
Kyrylenko, R., Koleiev, I., Savchenko, I., Voitsitskyi, T., Stratiichuk, R., Husak, V., Yesylevskyy, S., Starosyla, S., & Nafiiev, A. (2025) · Journal of Chemical Information and Modeling
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 6
- Verified
Sampling and Ranking of Protein Conformations Using Machine Learning Techniques Do Not Improve the Quality of Rigid Protein–Protein Docking
Stratiichuk, R., Kyrylenko, R., Koleiev, I., Savchenko, I., Voitsitskyi, T., Husak, V., Yesylevskyy, S., Starosyla, S., & Nafiiev, A. (2025) · Journal of Chemical Information and Modeling
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 6
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