Author

I. Vorobyov

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· 5

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:deep learning· 4 Research Focus:drug response / drug discovery· 4 Assay:protein structure· 3 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Assay:structural biology· 2 Approach:biophysical modeling· 1

Frequent Co-Authors

C. E. Clancy· 5 shared V. Yarov-Yarovoy· 5 shared K. R. DeMarco· 3 shared K. Ngo· 2 shared P.-C. Yang· 2 shared A. M. Emigh· 1 shared D. L. Mateos· 1 shared H. Wulff· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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5 shared papersBiophysics

C. E. Clancy

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5 papers

Recent·Most cited

Harnessing AlphaFold to reveal hERG channel conformational state secrets

K. Ngo, P.-C. Yang, V. Yarov-Yarovoy, C. E. Clancy, I. Vorobyov

This paper uses AlphaFold to predict discrete conformational states of hERG channels, revealing structural features and drug interactions that improve drug safety screening.

bioRxiv · Jan 27, 2024Biophysics

Elucidating Molecular Mechanisms of Protoxin-2 State-specific Binding to the Human NaV1.7 Channel

K. Ngo, D. L. Mateos, Y. Han, K. C. Rouen, S.-H. Ahn, H. Wulff, C. E. Clancy, V. Yarov-Yarovoy, I. Vorobyov

This study uses computational modeling to investigate how protoxin-2 binds to different states of the hNaV1.7 channel, identifying key residues and lipid interactions that contribute to its selectivity.

bioRxiv · Feb 27, 2023Biophysics

Structural modeling of the hERG potassium channel and associated drug interactions

J. Maly, A. M. Emigh, K. R. DeMarco, K. Furutani, J. T. Sack, C. E. Clancy, I. Vorobyov, V. Yarov-Yarovoy

This study uses Rosetta to model structural changes in hERG channels caused by mutations and drug interactions, revealing conformational shifts and binding mechanisms.

bioRxiv · Jul 8, 2021Biophysics

Atomistic modeling towards predictive cardiotoxicity

K. R. DeMarco, J. R. D. Dawson, P.-C. Yang, S. Bekker, V. A. Ngo, S. Y. Noskov, V. Yarov-Yarovoy, C. E. Clancy, I. Vorobyov

This paper develops a computational framework to distinguish safe and unsafe hERG blockers by modeling atomic interactions and simulating drug-channel dynamics.

bioRxiv · May 11, 2019 · PreprintBiophysics

Structural Basis for Antiarrhythmic Drug Interactions with the Human Cardiac Sodium Channel

P. T. Nguyen, K. R. DeMarco, I. Vorobyov, C. E. Clancy, V. Yarov-Yarovoy

This study investigates the molecular interactions of antiarrhythmic and local anesthetic drugs with hNav1.5 using structural modeling and simulations, revealing key binding sites and pathways.

bioRxiv · Sep 29, 2018Biophysics