Author

Slava Bekker

American River CollegeORCID 0000-0002-8014-7023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Colleen E. ClancyiD· 2 shared Igor V. VorobyoviD· 2 shared John R.D. DawsoniD· 2 shared Kevin R. DeMarcoiD· 2 shared Vladimir M. Yarov-YarovoyiD· 2 shared Mao-Tsuen JengiD· 1 shared Parya AghasafariiD· 1 shared Pei‐Chi YangiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersMolecular Biology

Colleen E. ClancyORCID

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2 papers

Recent·Most cited

Modeling stereospecific drug interactions with beta-adrenergic receptors

John R.D. Dawson, Kevin R. DeMarco, Yanxiao Han, Slava Bekker, Colleen E. Clancy, Vladimir M. Yarov-Yarovoy, Igor V. Vorobyov

The paper develops structural models of beta-1 and beta-2 adrenergic receptors with beta-blockers using RosettaLigand and MD simulations, identifying structural features and stability but not clearly distinguishing stereospecific drug preferences.

bioRxiv · Oct 1, 2023 · PreprintMolecular Biology

A computational pipeline to predict cardiotoxicity:From the atom to the rhythm

Pei‐Chi Yang, Kevin R. DeMarco, Parya Aghasafari, Mao-Tsuen Jeng, John R.D. Dawson, Slava Bekker, Sergei Yu. Noskov, Vladimir M. Yarov-Yarovoy, Igor V. Vorobyov, Colleen E. Clancy

This paper develops a multiscale computational model to predict cardiotoxicity from drug chemistry to cardiac rhythm, validated using clinical data and showing high predictive accuracy for arrhythmia vulnerability.

Circulation Research · Mar 18, 2020Peer-reviewedSystems Biology