Author

Thomas E. Cheatham

Department of Medicinal Chemistry, University of Utah, Salt Lake City, Utah 84112, United StatesORCID 0000-0003-0298-3904Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:cryo-EM· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Ambuj SrivastavaiD· 1 shared Anika JainiD· 1 shared Anouka Saha· 1 shared Arne ElofssoniD· 1 shared Ayush GuptaiD· 1 shared Braxten D. HornsbyiD· 1 shared Carol S. Lim· 1 shared Chandran NithiniD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBiophysics

Ambuj SrivastavaORCID

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2 papers

Recent·Most cited

BiophysicsProteins Structure Function and BioinformaticsPeer-reviewedNov 8, 2025

Blind Prediction of Complex Water and Ion Ensembles Around RNA in CASP16

Rachael C. Kretsch, Elisa Posani, Eugene F. Baulin…·Rhiju Das

This paper evaluates blind predictions of dynamic water and ion ensembles around RNA using cryo-EM densities from CASP16, finding that molecular dynamics approaches perform best.

5 citations

cryo-EMdeep learning

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BiophysicsbioRxivNov 15, 2023

Computational Modeling of Stapled Coiled-Coil Inhibitors Against Bcr-Abl: Toward a Treatment Strategy for CML

Maria Carolina P. Lima, Braxten D. Hornsby, Carol S. Lim, Thomas E. Cheatham

The paper designs and evaluates stapled coiled-coil inhibitors against Bcr-Abl using computational modeling to improve stability and activity for CML treatment.

DOI 10.1021/acs.jpcb.4c02699

humanproteomics

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