Finding a hit is hard enough in drug discovery, but you also need to know which hit to pursue and which will be dead ends due to challenges like optimizing physicochemical and ADMET properties.

Our proprietary models evaluate multiple critical parameters in silico to holistically identify and prioritize the most promising drug candidates. These models combine physics and machine learning on millions of parameters to predict protein target properties, small molecule properties, and protein-target interactions. By partnering with Deep Origin, you gain access to transformative technology that reduces risk, cuts unnecessary experiments, and accelerates your path to therapeutic success.