Interpretable Machine Learning Algorithms for Predictive Toxicology

Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection sectors to reduce the extensive time, costs and attrition associated with the development of new chemical entities. The typical aim is to relate molecular structure to predicted properties such as biological activity and…