Author

D. Nechepurenko

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Nafiev· 1 shared I. Khropachev· 1 shared I. Koleiev· 1 shared L. Popryho· 1 shared P. Henitsoi· 1 shared R. Stratiichuk· 1 shared R. Zhytar· 1 shared S. Starosyla· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Nafiev

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1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintNov 24, 2022

3DProtDTA: the deep learning model for drug-target affinity prediction based on the residue-level protein graphs

T. Voitsitskyi, R. Stratiichuk, I. Koleiev…·S. Starosyla

This paper introduces 3DProtDTA, a deep learning model for drug-target affinity prediction using residue-level protein graphs and AlphaFold structures, showing superior performance on benchmark datasets.

DOI 10.1101/2022.11.24.517815

protein structuredeep learning

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