If we could learn to read and write in the code of life it would make biology programmable. Trial and error would be replaced by logic, and painstaking experiments by simulation.
As we introduce ourselves as a new company, we’re excited to present ESM3-a frontier language model for the life sciences that advances our ability to program and create with the code of life. ESM3 takes a step towards the future where AI is a tool to engineer biology from first principles in the same way we engineer structures, machines and microchips, and write computer programs.
Today we are sharing ESM3, the first generative model for biology that simultaneously reasons over the sequence, structure, and function of proteins.
ESM3 is trained across the natural diversity of the Earth-billions of proteins, from the Amazon rainforest, to the depths of the oceans, extreme environments like hydrothermal vents, and the microbes in a handful of soil.
Links From the Episode:
ESM3: Simulating 500 million years of evolution with a language model
www.evolutionaryscale.ai/blog...
Ex-Meta scientists debut gigantic AI protein design model
www.nature.com/articles/d4158...
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