Author

T. G. Oas

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:statistical model· 2

Frequent Co-Authors

A. W. Barb· 1 shared A. Yan· 1 shared B. R. Donald· 1 shared F. Thelot· 1 shared J. W. Martin· 1 shared R. G. Hughes· 1 shared S. C. Schmidler· 1 shared S. Zhao· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBiophysics

A. W. Barb

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2 papers

Recent·Most cited

Efficient Enumeration and Visualization of Helix-coil Ensembles

S. C. Schmidler, R. G. Hughes, T. G. Oas, S. Zhao

The paper introduces an algorithm to efficiently approximate helix-coil ensembles by enumerating the most probable configurations, enabling analysis of ensemble properties and folding mechanisms.

bioRxiv · Sep 16, 2023 · PreprintBiophysics

Continuous interdomain orientation distributions reveal components of binding thermodynamics

Y. Qi, J. W. Martin, A. W. Barb, F. Thelot, A. Yan, B. R. Donald, T. G. Oas

The paper introduces a method to visualize and analyze correlated interdomain motions using continuous conformational distributions, applied to study staphylococcal protein A's binding thermodynamics.

bioRxiv · May 8, 2018Biophysics