Author

S. Yesylevskyy

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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Biophysics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Nafiev· 1 shared c. ramseyer· 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

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Nafiev

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2 papers

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

Curvature increases permeability of the plasma membrane for ions, water and the anti-cancer drugs cisplatin and gemcitabine

S. Yesylevskyy, T. Rivel, c. ramseyer

This study shows that membrane curvature significantly increases permeability for ions, water, and anti-cancer drugs cisplatin and gemcitabine using molecular dynamics simulations.

bioRxiv · Apr 8, 2019Biophysics