Author

Taras V. Pogorelov

University of Illinois Urbana-ChampaignORCID 0000-0001-5851-7721Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Agnieszka LewandowskaiD· 1 shared Arun MajiiD· 1 shared Christopher K. RakowskiiD· 1 shared Daniel M. GreenaniD· 1 shared Ian M. ThornelliD· 1 shared Jie ShiiD· 1 shared Jonnathan P. Marin-ToledoiD· 1 shared Kelsie J. GreeniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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1 shared paperPharmacology & Toxicology

Agnieszka LewandowskaORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintAug 28, 2025

Molecular prosthetics for CFTR designed for anion selectivity outperform amphotericin B in cultured cystic fibrosis airway epithelia

Jonnathan P. Marin-Toledo, Daniel M. Greenan, Nohemy Celis…·Martin D. Burke

The paper shows that modified amphotericin B derivatives improve ASL pH in CF airway epithelia better than amphotericin B itself.

DOI 10.1101/2025.08.28.671923

humanelectrophysiology

𝕏 PostBluesky

BiochemistrybioRxivPreprintAug 18, 2025

Interpretable Machine Learning Uncovers Structural Determinants of Wnt-Wls Binding Specificity from Extended Atomistic Simulations

Tiffany J. Callahan, Jie Shi, Kevin Jose Cheng…·Sara Capponi

The paper uses machine learning on molecular dynamics simulations to identify key residues determining Wnt-Wls binding specificity across four Wnt proteins.

DOI 10.1101/2025.08.18.670971

protein structuredeep learning

𝕏 PostBluesky