Computational toxicology has many applications for modeling and predicting the adverse effects of chemical compounds. In recent years, the emergence of new methods of machine learning and the simultaneous introduction of environmental considerations by government institutions have breathed new life into the body of this discipline. Additionally, the high costs of the drug discovery process, the early detection and elimination of potential drug candidates have become even more important.
In this seminar, we will define concepts and explain the challenges.