Author

Yurii Moroz

Taras Shevchenko National University of Kyiv

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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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aashish ManglikiD· 1 shared Alan AshworthiD· 1 shared Alexander Makriyannis· 1 shared Allan I. BasbaumiD· 1 shared Assaf AloniD· 1 shared Brandon Lam· 1 shared Brian K. ShoichetiD· 1 shared Bryan L. RothiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

Aashish ManglikORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 11, 2026

Combinatorial docking and molecular generation to navigate over 100-billion molecules for prospective ligand discovery

Jianxiang Zhang, Chao Yang, Yu Zhang…·Jiankun Lyu

The paper introduces CombiDOCK and MINT-Dock to efficiently screen large molecule libraries for ligand discovery, achieving high hit rates and computational efficiency.

DOI 10.64898/2026.06.07.730716

proteomicsdeep learning

Pharmacology & ToxicologybioRxivPreprintMay 13, 2026

Toward a Random Background for Ligand Optimization

Xinyu Xu, Olivier Mailhot, G.J. Correy…·Brian K. Shoichet

This study systematically evaluates the effectiveness of random small perturbations in ligand optimization, finding 11.2% of analogs improved potency by ≥10-fold but often had worse pharmacokinetics.

DOI 10.64898/2026.05.10.724162

experimental assaydrug response / drug discovery