Enhanced Serotonin Sensing with Machine Learning-Guided Directed Evolution of Luciferase

This study focuses on developing a more accurate and reliable serotonin sensor using directed evolution and machine learning techniques. Luciferase, a widely used fluorescent probe for detecting luminescent substances in organisms, serves as the foundation for this sensor. The research aims to enhance the selectivity and sensitivity of luciferase for serotonin detection. By applying directed evolution, the researchers modify the enzyme's structure to improve its ability to specifically bind and react with serotonin. Machine learning accelerates and optimizes the directed evolution process, enabling rapid identification of the most promising luciferase variants. Therefore, luciferase acts as a critical tool in this research, facilitating the creation of a superior serotonin sensor.