Halil Akin

The paper uses language modeling to create a comprehensive representation of protein biology, enabling structure prediction and discovery of high-affinity protein interactions.

ESM3, a 98-billion-parameter multimodal protein language model tokenized across sequence, structure, and function, designs a bright green fluorescent protein at 58% sequence identity to known fluorescent proteins.

Protein language models scaled to 15B parameters predict atomic-resolution structures from sequence up to 60x faster than the state of the art, producing over 617 million metagenomic structures.