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SimpleFold: Folding proteins is simpler than you think

SimpleFold: Folding Proteins is Simpler than You Think 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 b

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI to predict the 3D structure of proteins, and it shows promise. Here are the details. If you’re not familiar with AlphaFold, this is Google DeepMind’s groundbreaking AI model that can predict the 3D structure of a protein from its amino acid sequence. This has been especially valuable in helping dev