Author

J. R. Porter

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· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Research Focus:protein folding & dynamics· 3 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Assay:structural biology· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

G. R. Bowman· 4 shared M. I. Zimmerman· 4 shared A. Meller· 2 shared K. E. Moeder· 2 shared M. J. Greenberg· 2 shared N. Vithani· 2 shared S. Singh· 2 shared U. L. Mallimadugula· 2 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersBiophysics

G. R. Bowman

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Author profile →

4 papers

Recent·Most cited

SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome

M. I. Zimmerman, J. R. Porter, M. D. Ward, S. Singh, N. Vithani, A. Meller, U. L. Mallimadugula, C. E. Kuhn, J. H. Borowsky, R. P. Wiewiora, M. F. D. Hurley, A. M. Harbison, C. A. Fogarty, J. E. Coffland, E. Fadda, , G. R. Bowman

The paper uses exascale simulations to study SARS-CoV-2 protein dynamics, revealing cryptic epitopes and conformational changes that inform antiviral target design.

bioRxiv · Jun 27, 2020 · PreprintBiophysics

A cryptic pocket in Ebola VP35 allosterically controls RNA binding

M. A. Cruz, T. E. Frederick, U. L. Mallimadugula, S. Singh, N. Vithani, M. I. Zimmerman, J. R. Porter, K. E. Moeder, G. K. Amarasinghe, G. R. Bowman

This study identifies a cryptic pocket in Ebola VP35 that allosterically controls RNA binding, validated through simulations, experiments, and drug-like modifications.

bioRxiv · Feb 9, 2020Biochemistry

Conformational distributions of isolated myosin motor domains encode their mechanochemical properties

J. R. Porter, A. Meller, M. I. Zimmerman, M. J. Greenberg, G. R. Bowman

The paper models conformational distributions of myosin motor domains using molecular dynamics simulations to predict mechanochemical properties better than sequence or structure alone.

bioRxiv · Dec 16, 2019Biophysics

Cooperative changes in solvent exposure identify cryptic pockets, conformational switches, and allosteric coupling

J. R. Porter, K. E. Moeder, C. A. Sibbald, M. I. Zimmerman, K. M. Hart, M. J. Greenberg, G. R. Bowman

The paper introduces a method to identify functionally-relevant conformational changes in proteins by analyzing cooperative solvent exposure changes, demonstrating its utility in discovering cryptic allosteric sites.

bioRxiv · Sep 18, 2018Biophysics