EvolutionaryScale will be joining forces with Biohub to create the first large-scale scientific initiative combining frontier AI & frontier biology. Together, we're building world-class compute, AI research & state-of-the-art technologies to cure or prevent disease. bit.ly/4nOUGO4
We're sponsoring the use of ESM3 and EMSC to help researchers engineer improved PETase enzymes in the @AlignBio 2025 Protein Engineering Tournament.
Get started using ESMC to predict protein function and ESM3 to generate new enzymes here: github.com/evolutionary...
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🚀 Announcing the 2025 Protein Engineering Tournament.
This year’s challenge: design PETase enzymes, which degrade the type of plastic in bottles. Can AI-guided protein design help solve the climate crisis? Let’s find out! ⬇️
#AIforBiology #ClimateTech #ProteinEngineering #OpenScience
Scaling curves for ESM C protein language models. Model performance improves predictably with scale.
Information about protein structure improves predictably with increasing training compute, demonstrating linear scaling across multiple orders of magnitude.
We overtrained ESM C 300M and 600M beyond the compute-optimal point predicted by the scaling curves.
Model Scale vs. Performance curves for ESM C models, with comparisons to ESM2 and other protein LMs. ESMC performs better than existing state of the art for the same model parameter scale.
Introducing ESM Cambrian, a new family of protein language models, focused on creating representations of the underlying biology of proteins.