Measuring these interactions at this level allows us to create unprecedented, high-resolution maps of a pharmacophore – the set of essential features of a molecule that elicit a highly specific action.
Integrating massively parallel assays and machine learning, our MIMIC platform systematically isolates pharmacophores to design novel mimetic compounds, where properties such as function, specificity, selectivity, and multi-targeting can be ideally programmed.
By building MIMIC around the pharmacophore, we can radically reduce the scale of drug design’s computational challenge. Then we are able to precisely predict how changes to a mimic will meaningfully impact its function, allowing us to program them to trigger the desired biological response.
