Beacon-2 turns human efficacious dose into a computable reward: agent cuts predicted dose 17-fold
Inductive released Beacon-2, a unified system that predicts a molecule's human efficacious dose end-to-end from chemical structure and treats that dose as the reward function for chemical optimization. AI drug discovery had focused largely on potency, one input to dose. On 325 compounds from the ExpansionRx blind challenge, fully blind dose predictions matched doses computed from measured ADME data with a Spearman rank correlation of 0.79 and an average fold error of 2.4x; across 20 partner programs the average rank correlation was 0.61.