12/20/2023 0 Comments Download amino acid structureTransformer protein language models were introduced in the 2019 preprint of the paper "Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences".ĮSM-2 outperforms all tested single-sequence protein language models across a range of structure prediction tasks.ĮSMFold harnesses the ESM-2 language model to generate accurate structure predictions end to end directly from the sequence of a protein. This repository contains code and pre-trained weights for Transformer protein language models from the Meta Fundamental AI Research Protein Team (FAIR), including our state-of-the-art ESM-2 and ESMFold, as well as MSA Transformer, ESM-1v for predicting variant effects and ESM-IF1 for inverse folding. Code for "A high-level programming language for generative protein design" is under examples/protein-programming-language/. Update April 2023: Code for the two simultaneous preprints on protein design is now released! Code for "Language models generalize beyond natural proteins" is under examples/lm-design/.
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