Author

Ivan Khropachov

ORCID 0009-0000-2025-2115Unclaimed 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:deep learning· 1 Approach:diffusion model· 1 Approach:statistical model· 1

Frequent Co-Authors

Alan NafiieviD· 2 shared Ihor KoleieviD· 2 shared Roman StratiichukiD· 2 shared Semen O. YesylevskyyiD· 2 shared Sergiy A. StarosylaiD· 2 shared Taras VoitsitskyiiD· 2 shared Volodymyr VozniakiD· 2 shared Zakhar OstrovskyiD· 2 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersBioinformatics

Alan NafiievORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 14, 2025

Improving ADMET prediction with descriptor augmentation of Mol2Vec embeddings

Roman Stratiichuk, Nazar Shevchuk, Roman Kyrylenko…·Alan Nafiiev

This paper improves ADMET prediction by augmenting Mol2Vec embeddings with classical descriptors and feature selection, achieving top results on 10 of 16 TDC benchmarks.

1 citation

statistical modeldrug response / drug discovery

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