Author

James P. Roney

Massachusetts Institute of TechnologyORCID 0000-0003-4818-4323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chenxi OuiD· 1 shared Franziska Michor AiD· 1 shared Ioannis K. ZervantonakisiD· 1 shared Sergey OvchinnikoviD· 1 shared Simone BrunoiD· 1 shared Thomas O. McDonaldiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBiophysics

Chenxi OuORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintMar 18, 2026

Protein Diffusion Models as Statistical Potentials

James P. Roney, Chenxi Ou, Sergey Ovchinnikov

This paper introduces ProteinEBM, a protein conformational energy model that outperforms existing methods in predicting mutation effects and protein structures.

4 citations

protein structuredeep learning

𝕏 PostBluesky

Systems BiologybioRxivPreprintFeb 5, 2025

BESTDR: Bayesian quantification of mechanism-specific drug response in cell culture

Thomas O. McDonald, Simone Bruno, James P. Roney…·Franziska Michor A

BESTDR quantifies drug response mechanisms using Bayesian modeling of cell state transitions, improving accuracy in dose-response analysis across cell lines.

DOI 10.1101/2025.02.05.636681

Bayesian inferencedrug response / drug discovery

𝕏 PostBluesky