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EIGENFOLD: Generative Protein Structure Prediction with Diffusion Models

Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational ensembles and flexibility that underlie biological function.

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Cite this as

Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi Jaakkola (2024). Dataset: EIGENFOLD: Generative Protein Structure Prediction with Diffusion Models. https://doi.org/10.57702/1ecoau7s

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2304.02198
Author	Bowen Jing
More Authors	Ezra Erives Peter Pao-Huang Gabriele Corso Bonnie Berger Tommi Jaakkola
Homepage	https://github.com/bjing2016/EigenFold