Machine Learning-Driven Directed Evolution of a High-Performance Serotonin Sensor

This research describes the development of a highly selective and sensitive serotonin sensor through directed evolution. The sensor utilizes Fluorescence Resonance Energy Transfer (FRET) for detection. FRET is a technique that involves energy transfer between fluorescent dyes, and it is unrelated to choline-binding proteins. Therefore, the sensor described in this research does not rely on the interaction between luciferase and choline-binding proteins.