Author

S. Starosyla

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 D. Nechepurenko· 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

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

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

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

T. Voitsitskyi, R. Stratiichuk, I. Koleiev, L. Popryho, Z. Ostrovsky, P. Henitsoi, I. Khropachev, V. Vozniak, R. Zhytar, D. Nechepurenko, S. Yesylevskyy, A. Nafiev, 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.

bioRxiv · Nov 24, 2022 · PreprintPharmacology & Toxicology