Author

J. M. Hays

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· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:protein folding & dynamics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

P. M. Kasson· 2 shared B. Demeler· 1 shared D. M. Benbrook· 1 shared D. S. Cafiso· 1 shared F. A. Hays· 1 shared H. Schmitz· 1 shared J. K. Frazer· 1 shared K. D. Duggan· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiophysics

P. M. Kasson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BiochemistrybioRxivPreprintApr 14, 2022

p66Shc is an apoptotic rheostat whose targeted ROS inhibition improves MI outcomes

L. Haslem, J. M. Hays, H. Schmitz…·F. A. Hays

This study identifies p66Shc as a stress-dependent apoptotic rheostat and shows that reducing its pro-apoptotic ROS production improves myocardial infarction outcomes in zebrafish.

DOI 10.1101/2022.04.14.487897

zebrafishexperimental assay

𝕏 PostBluesky

BiophysicsbioRxivMay 31, 2019

Hybrid refinement of heterogeneous conformational ensembles using spectroscopic data

J. M. Hays, D. S. Cafiso, P. M. Kasson

This study develops a method to refine heterogeneous conformational ensembles using spectroscopic data, showing improved accuracy in capturing conformational states of syntaxin-1a.

DOI 10.1021/acs.jpclett.9b01407

electronic health recordsdeep learning

𝕏 PostBluesky

BiophysicsbioRxivApr 22, 2018

gmxapi: a high-level interface for advanced control and extension of molecular dynamics simulations

M. E. Irrgang, J. M. Hays, P. M. Kasson

The paper introduces a Python API for GROMACS that enables custom potential functions and efficient simulation ensembles without modifying the core code.

DOI 10.1093/bioinformatics/bty484

experimental assaysoftware / tool

𝕏 PostBluesky