Connecting AI and cell signalling to de-risk drug development
InterAx combines machine learning, mathematical modeling of cellular processes, and experimental methods derived from more than 10 years of fundamental research to generate high-efficacy leads for a given GPCR target.
We decipher drug effects on cellular signaling – one of the least understood aspects of biology, and a major point of failure for new medicines. We provide unique tools for discovery and optimization of GPCR drug candidates.
We leverage both experimental methods and simulations of mathematical models of cellular processes to generate datasets suitable to train machine learning models. By doing so, we learn from both data and cellular biology knowledge and are able to unlock the use of artificial intelligence to predict cellular responses modulated by drugs. In addition to the classic discovery of high affinity binders, InterAx technology opens new dimensions in drug design – enabling selection of high efficacy drug candidates based on cellular biology mechanisms. In other words, this technology helps to move from “ligand discovery” to “drug discovery”.