Jedi Labs tackles these challenges using its advanced AI platform, featuring ProteinBind™ and JEDI Ensemble™.

Our ProteinBind™ engine employs cutting-edge geometric deep learning and molecular simulation to accurately predict protein structures and protein-ligand binding affinities *in silico*. This enables the rapid virtual screening of millions, even billions, of potential drug compounds against novel or established targets, drastically reducing the time and cost associated with initial wet-lab experiments and focusing R&D efforts on the most promising candidates.

JEDI Ensemble™ complements this by integrating and analyzing diverse biological data sources (genomics, transcriptomics, clinical data, literature). It identifies complex patterns indicative of target validity, potential efficacy based on biological pathways, and even predicts potential off-target effects or toxicity profiles early in the process, further de-risking development.