Author

Mykola Melnychenko

ORCID 0009-0006-5671-9809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ihor KoleieviD· 2 shared Nazar ShevchukiD· 2 shared Roman StratiichukiD· 2 shared Semen O. YesylevskyyiD· 2 shared Sergiy A. StarosylaiD· 2 shared Vladyslav HusakiD· 2 shared Алан НафієвiD· 2 shared Daniil Todoryshyn· 1 shared

Activity by Year

2025-2026 · 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

BiophysicsbioRxivPreprintFeb 28, 2026

Critical Assessment of ML models for ADMET Prediction in TDC leaderboards

Ihor Koleiev, Roman Stratiichuk, Nazar Shevchuk…·Алан Нафієв

The paper evaluates ADMET prediction models on TDC leaderboards, finding most top models lack reproducibility and exhibit data leakage, with only three methods passing rigorous checks.

DOI 10.64898/2026.02.26.708193

benchmark studybenchmarking

𝕏 PostBluesky

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