Author

Illia Savchenko

National Academy of Sciences of UkraineORCID 0009-0007-9894-7479Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:protein structure· 2 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Ihor KoleieviD· 2 shared Roman KyrylenkoiD· 2 shared Roman StratiichukiD· 2 shared Semen O. YesylevskyyiD· 2 shared Sergiy A. StarosylaiD· 2 shared Taras VoitsitskyiiD· 2 shared Vladyslav HusakiD· 2 shared Алан НафієвiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Ihor KoleievORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJan 30, 2026

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

Taras Voitsitskyi, Ihor Koleiev, Roman Stratiichuk…·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.

8 citationstop 2%

protein structuremachine learning (classical)

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BiophysicsJournal of Chemical Information and ModelingPeer-reviewedSep 16, 2025

Sampling and ranking of protein conformations using machine learning techniques do not improve quality of rigid protein-protein docking

Roman Stratiichuk, Roman Kyrylenko, Ihor Koleiev…·Алан Нафієв

This study evaluates ML-based conformational sampling in rigid protein-protein docking and finds it does not improve docking accuracy compared to using Apo structures.

6 citations

protein structuremachine learning (classical)

𝕏 PostBluesky