Proteins have the potential to treat many more diseases like Alzheimer’s, Parkinson’s, and cancer. But protein engineering is cumbersome and uses a trial & error approach that mostly relies on experimental work in the wet lab.
Cinference build large-scale machine learning models that learn the language of proteins to design proteins with the exact therapeutic functions we desire. They have built a prototype and are currently finalizing contract terms for two partnerships with leading biotech and life science players to design proteins for cancer and rare disease targets.
