Author

S. Bekker

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biophysics· 1

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Approach:biophysical modeling· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:structural biology· 1

Frequent Co-Authors

C. E. Clancy· 1 shared I. Vorobyov· 1 shared J. R. D. Dawson· 1 shared K. R. DeMarco· 1 shared P.-C. Yang· 1 shared S. Y. Noskov· 1 shared V. A. Ngo· 1 shared V. Yarov-Yarovoy· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

C. E. Clancy

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1 paper

Recent·Most cited

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