Advances in Computational Toxicology – Methodologies and Applications in Regulatory Science

Excerpt from Chapter 1 – Computational Toxicology Promotes Regulatory Science:

New tools have become available to researchers and regulators including genomics, transcriptomics, proteomics, machine learning, artificial intelligence, molecular dynamics, bioinformatics, systems biology, and other advanced techniques. These new advanced approaches originated elsewhere but over time have perfused into the toxicology field, enabling more efficient risk assessment and safety evaluation. While traditional toxicological methods remain in full swing, the continuing increase in the number of chemicals introduced into the environment requires new toxicological methods for regulatory science that can overcome the shortcoming of traditional toxicological methods. Computational toxicology is a new toxicological method which is much faster and cheaper than traditional methods. A variety of methods have been developed in computational toxicology and some have been adopted in regulatory science. This book summarizes some methods in computational toxicology and reviews multiple applications in regulatory science, indicating that computational toxicology promotes regulatory science.