Health AI Central
Peer-Reviewed Publication
Protein Sci2026;35(11):e70794.November 1, 2026Journal Article

DreamFold: A World Model to efficiently generate protein folding pathways in the latent space.

Alan Ianeselli1, Jewon Im2, Eddie Cavallin3, Mark B Gerstein1,2,3,4,5
1Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA.
2Department of Computer Science, Yale University, New Haven, Connecticut, USA.
3Department of Statistics and Data Science, Yale University, New Haven, Connecticut, USA.
4Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.
5Department of Biomedical Informatics & Data Science, Yale University, New Haven, Connecticut, USA.
PubMed DOI

Abstract

While there is an abundance of static data for the structure of biological macromolecules, the data regarding their folding mechanisms and dynamics is scarce, posing a challenge to the training of AI models. The World Model approach, which has been very successful in robotics, can come in handy in this regard. From limited data, it can build a latent, approximated representation of the spatio-temp…

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