Author

Oleksandr I. Kot

ORCID 0000-0002-6924-7445Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

Ihor KoleieviD· 1 shared Illia SavchenkoiD· 1 shared Roman KyrylenkoiD· 1 shared Roman StratiichukiD· 1 shared Semen O. YesylevskyyiD· 1 shared Sergiy A. StarosylaiD· 1 shared Taras VoitsitskyiiD· 1 shared Vladyslav HusakiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ihor KoleievORCID

Mutual co-authors in cluster

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1 paper

Recent·Most cited

ArtiDock: accurate Machine Learning approach to protein-ligand docking optimized for high-throughput virtual screening

Taras Voitsitskyi, Ihor Koleiev, Roman Stratiichuk, Oleksandr I. Kot, Roman Kyrylenko, Illia Savchenko, Vladyslav Husak, Semen O. Yesylevskyy, Sergiy A. Starosyla, Алан Нафієв

ArtiDock is a machine learning-based protein-ligand docking method that improves accuracy over classical techniques while maintaining low computational cost for high-throughput virtual screening.

Journal of Chemical Information and Modeling · Jan 30, 2026Peer-reviewedBioinformatics