Meta AI has released a comprehensive suite of protein biology tools including ESM-C (a language model trained on billions of protein sequences), ESMFold (an open model achieving state-of-the-art protein structure prediction), and ESM Atlas (a map of protein structure and function across billions of proteins across life's biodiversity), which together provide researchers with new computational tools for protein design and discovery that move beyond traditional sequence-based or wet-lab approaches.
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Today, we’re releasing a world model of protein biology:Añadido:
Proteins are the fundamental machinery of life. Scientists have [music] spent decades cataloging billions of proteins, but there's so much more for us to understand. Today, we're releasing ESM-C, which is a state-of-the-art language model that's been trained on billions [music] of protein sequences.
We're releasing a new ESMFold, which achieves state-of-the-art structure prediction and is an open model. And we're releasing the ESM Atlas, which is a map of protein structure and function [music] across billions of proteins across life's biodiversity.
Collectively, this suite of tools gives us a new lens on protein biology, one that's not just built on individual sequences [music] or expensive wet lab experiments. We're excited for researchers to apply these new therapeutic design tools to solve previously unsolved problems, taking designs all the [music] way from the GPU into the clinic to advance human health.
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