Author

Te‐Yu Kao

Vanderbilt UniversityORCID 0000-0002-3286-3287Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Hassane S. MchaourabiD· 2 shared Benjamin P. BrowniD· 1 shared Jens MeileriD· 1 shared Richard A. SteiniD· 1 shared Tianqi WuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Hassane S. MchaourabORCID

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2 papers

Recent·Most cited

Differentiable Spin-Center Diffusion Model Enables DEER-Guided Generative Pipeline of Weighted Protein Ensembles

Te‐Yu Kao, Jens Meiler, Hassane S. Mchaourab

This paper introduces a differentiable spin-center diffusion model to generate weighted protein ensembles from DEER spectroscopy data, enabling thermodynamic interpretation of conformational ensembles.

bioRxiv · Nov 1, 2026 · PreprintBioinformatics

Modeling Protein Conformations by Guiding AlphaFold2 with Distance Distributions. Application to Double Electron Electron Resonance (DEER) Spectroscopy.

Tianqi Wu, Richard A. Stein, Te‐Yu Kao, Benjamin P. Brown, Hassane S. Mchaourab

The paper modifies AlphaFold2 to incorporate distance distributions from DEER spectroscopy, improving conformational prediction with fewer experimental constraints.

bioRxiv · Oct 30, 2024 · PreprintBioinformatics