SimpleFold: Folding proteins is simpler than you think
SimpleFold: Folding Proteins is Simpler than You Think This github repository accompanies the research paper, SimpleFold: Folding Proteins is Simpler than You Think (Arxiv 2025). Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Joshua M. Susskind, Miguel Angel Bautista [Paper] [BibTex] Introduction We introduce SimpleFold, the first flow-matching based protein folding model that solely uses general purpose transformer layers. SimpleFold does not rely on expensive modules like triangle attention or pair representation biases, and is trained via a generative flow-matching objective. We scale SimpleFold to 3B parameters and train it on more than 8.6M distilled protein structures together with experimental PDB data. To the best of our knowledge, SimpleFold is the largest scale folding model ever…
