Alex Rives

“You started Evolutionary Scale and you'd raised venture and you were making progress in your models. What was the pitch from Mark and Priscilla where you said, like, that's actually the right way to go after the mission?”

“The new model folded 1.1 billion proteins, hit state-of-the-art on structure prediction benchmarks, and produced nanomolar antibody binders — not because it was specifically designed for any of those tasks, but because it was trained to understand proteins generally.”

“The models have been trained on billions of protein sequences. They've been trained on both known and unknown biology. And yet they're developing these representations that start to kind of capture things that we can really see correspond to that reductive picture of biology that's been built up over the centuries. So you can start to connect the dots between proteins where we don't really know anything about them with proteins where we do know something.”

“You started Evolutionary Scale and you'd raised venture and you were making progress in your models. What was the pitch from Mark and Priscilla where you said, like, that's actually the right way to go after the mission?”

“Biohub's release of a 'world model of protein biology' — encompassing a protein-structure prediction model, a protein language model, and ESM Atlas (mapping 6.8 billion proteins)”

“"What we've shown is that these models have learned such a high-fidelity world model of biology that you can design protein interfaces computationally, take them into the laboratory and they function as predicted." — Alex Rives, Head of Science, Biohub”