Every single machine learning (ML)-driven breakthrough, from language translation to Go championships, was immediately preceded not by an algorithmic innovation but by a massive, well-controlled, purpose-built dataset. An ML-driven breakthrough in medicinal chemistry is going to require a similar dataset, but such high-quality, well-structured experimental data doesn’t exist yet. We're building that data set by making physical measurements of lots of targets (with automated in-house protein production) screened against lots of compounds (with DNA-encoded chemical libraries). We're also building the ML models, that will eventually be generalizable across any protein and novel medicines using insights from our models. 

Biotechnology

Life Sciences

Pharmaceutical

Research

Leash Bio

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