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New and improved OSS tools for practitioners using protein language models!

Thank you for making ESM C (truly) open source!

Today EvolutionaryScale scaled up compute + data + trained next gen of protein language models ESM C 300M + 600M w/open weights ESM C 6B on EvolutionaryScale Forge (academic) + AWS Sagemaker (commercial) Unsupervised learning inverts bio at scale + reveals secrets of natural world!

Evolutionary Scale · ESM Cambrian: Revealing the mysteries of proteins with unsupervised learning evolutionaryscale.ai/blog/esm-cambr…

1/🧬 Excited to share PLAID, our new approach for co-generating sequence and all-atom protein structures by sampling from the latent space of ESMFold. This requires only sequences during training, which unlocks more data and annotations: bit.ly/plaid-proteins 🧵

This is what we've been waiting for. The best drug targets out there don't have structure, and won't anytime soon. The key to unlocking these targets will be understanding protein function directly from sequence. Next step, designing molecules directly from sequence 🚀

We trained a model to co-generate protein sequence and structure by working in the ESMFold latent space, which encodes both. PLAID only requires sequences for training but generates all-atom structures! Really proud of Amy Lu's effort leading this project end-to-end!

Whoa! When a large language of life model generates a protein equivalent to ~500 million years of evolution. Science Magazine science.org/doi/10.1126/sc… Thomas Hayes Roshan Rao EvolutionaryScale Arc Institute UC Berkeley

Sign up for Forge, our new API for biological intelligence, now in public beta: forge.evolutionaryscale.ai

ESM3 generating a fluorescent protein!

We’re also announcing an ESM3 compute grant pilot program for applications at the scientific frontier. ESM3 can enable creative applications of protein engineering from drug design, to green chemistry, and materials science. Please apply on Forge if your research could benefit

An #AI model created to design proteins simulates 500 million years of protein evolution in developing a previously unknown bright fluorescent protein. Learn more in a new Science study: scim.ag/4jhJ9Wa

Researchers have developed a deep learning protein language model, ESM3, that enables programmable protein design. Learn more in this week's issue of Science: scim.ag/4b5IlQu

Genomes encode biological complexity, which is determined by combinations of DNA mutations across millions of bases In new Arc Institute work, we report the discovery and engineering of the first programmable DNA recombinases capable of megabase-scale human genome rearrangement

In a medical milestone, a customized base editor was developed, characterized in human and mouse cells, tested in mice, studied for safety in non-human primates, cleared by U.S. FDA for clinical trial use, manufactured as a complex with an LNP, and dosed into a baby with a severe,

Designing DNA-binding proteins shouldn’t require structures. ❌🧬 With DPAC, we align protein and DNA language models via contrastive learning -- then use simulated annealing to design new binders straight from sequence! 🔀 📜: biorxiv.org/content/10.110… 💻: github.com/programmablebi…