The Rosetta stone for deciphering the cell signaling language critical to develop novel therapies.

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”.