In addition to providing multiple series of lead compounds, we produce medicinal chemistry vectors that can yield a drug candidate and a diverse set of backup compounds.

Make optimization data-driven. Lead optimization typically involves applying our platform technology in a more focused manner to exhaustively explore a lead series. Optimizing may also involve applying additional predictive models for the properties relevant to the later stages of drug design (PK/ADME or toxicity).

Until a drug development candidate is nominated by a partner, the process of lead optimization requires more chemical design decisions that can be informed by our technology, which continually adds value throughout our process.

Avoid hidden trade-offs. When we are optimizing for properties where modeling is not possible, we make sure that the desirable traits we’ve designed into the lead series (activity, selectivity, etc.) are maintained while we optimize for the remaining challenges using a more medicinal chemistry-based approach.