Author

Volodymyr G. Bdzhola

National Academy of Sciences of UkraineORCID 0000-0003-0315-450XUnclaimed 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:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:diffusion model· 1 Assay:protein structure· 1

Frequent Co-Authors

Ihor KoleieviD· 2 shared Roman StratiichukiD· 2 shared Semen O. YesylevskyyiD· 2 shared Sergiy A. StarosylaiD· 2 shared Taras VoitsitskyiiD· 2 shared Zakhar OstrovskyiD· 2 shared Алан НафієвiD· 2 shared Ivan KhropachoviD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBiophysics

Ihor KoleievORCID

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2 papers

Recent·Most cited

BiophysicsBioinformaticsPeer-reviewedAug 1, 2025

Leveraging Large Language Models for Literature-Driven Prioritization of Protein Binding Pockets

Roman Stratiichuk, Mykola Melnychenko, Ihor Koleiev…·Алан Нафієв

This paper combines geometric pocket detection with large language models to prioritize protein binding pockets for drug discovery, using a curated dataset and automated pipeline.

2 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 22, 2023

Boosting performance of generative diffusion model for molecular docking by training on artificial binding pockets

Taras Voitsitskyi, Volodymyr G. Bdzhola, Roman Stratiichuk…·Sergiy A. Starosyla

This paper introduces a generative diffusion model for molecular docking trained on artificial binding pockets, showing improved performance over existing methods.

2 citations

deep learningdiffusion model

𝕏 PostBluesky