Engineering the Next Generation of Matched Models for Chemical Translational Biology

In order to achieve patient personalization and translate compounds through the discovery phase into the clinic, high throughput test models should be designed to be as closely matched to the patient as possible. Engineering high throughput and physiologically relevant biological models is the idealized scenario for testing next generation modulators. I present here a cautionary example of a misaligned model as well as my viewpoint on how overcoming this bottleneck is one of the next frontiers in chemical biology. Matched models: The translation of drug compounds from high‐throughput models to high‐order, low‐throughput biological models is a major obstacle facing chemical biology. I present here a case for considering the next generation of matched biological models to address this bottleneck.