Numerate’s drug design process leverages all known data to deliver compounds that meet our partners’ specifications.

Design for success. Our in silico drug design platform solves the problem of multiple, often competing, objectives of designing drugs for efficacy and safety. Our approach solves for these objectives in parallel using predictive models of drug success and failure. This moves the design test cycles from the lab to the computer and delivers the same output as a successful traditional medicinal chemistry program: synthesized active, selective, safe, and patentable leads.

Unlike traditional approaches that rely on chemical intuition, we let all known relevant data drive us to the best possible answer. Our approach is more like a web search of virtual chemical space than traditional computer-aided drug discovery. Numerate focuses on solving the most important problem: finding some good compounds, not attempting to find every good compound. The goal of the technology is to find compounds from a very large set that meet all the design criteria.

We deliver to our partners synthesized, high-probability compounds. We produce the same output as a successful traditional drug discovery program—IP around synthesized leads (in vials) that perform to our partner’s specifications in our partner’s laboratory.