Nicholas Sofroniew
@sofroniewn
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EvolutionaryScale
San Francisco, CA
Joined December 2014
I'm so excited to share that I've been at EvolutionaryScale, it feels like a dream come true!. As one of our first projects, we took on designing a new green fluorescent protein with ESM3, our frontier generative language model for programming biology.
We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more:
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RT @ScienceMagazine: Researchers have developed a deep learning protein language model, ESM3, that enables programmable protein design. Le….
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So excited to be part of this work and programming biology! 🤖🧬🧫.
We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API
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RT @alexrives: We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamen….
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Super excited about ESMC and the quality of the protein representations! Can't wait to see what people build on top of it.
Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein
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RT @HannesStaerk: New paper with Bowen :)."Generative Modeling of Molecular Dynamics Trajectories" A "video diffus….
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RT @Micro_Yunha: What does gLM2 learn in non-protein-coding sequences?🧬 Using the Categorical Jacobian and the latest gLM2, we detect incre….
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RT @sokrypton: Exciting new work from Qian Cong's group on predicting human protein interactome. Leveraging new eukaryotic genomes, new Ros….
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RT @MartinPacesa: Have you ever wanted to design protein binders with ease? Today we present 𝑩𝒊𝒏𝒅𝑪𝒓𝒂𝒇𝒕, a user-friendly and open-source pip….
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RT @andrewwhite01: We had a lot to announce, but want to highlight we're building a PaperQA2-version of Wikipedia covering the human proteo….
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RT @SGRodriques: Introducing PaperQA2, the first AI agent that conducts entire scientific literature reviews on its own. PaperQA2 is also….
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RT @andrewwhite01: We used PaperQA2 to extract claims from papers and then see if they're contradicted anywhere in literature. This task is….
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RT @jeffnivala: Published today in @Nature, we describe an approach for single-molecule protein reading on @nanopore arrays. By utilizing C….
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RT @AjasjaLjubetic: Just putting some papers on the timeline:) Looking forward to seeing if we are now in the fourth phase (with deep-learn….
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RT @joshim5: We’re excited to introduce @ChaiDiscovery and release Chai-1, a foundation model for molecular structure prediction that perfo….
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RT @timd_ca: WIP: This is magic! I'm walking around a bacteria cell in #AppleVisionPro!!!. It's an atomistic cell model (you can see atoms….
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