Related Experiment Video
Updated: Aug 9, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Prediction of systemic concentrations of sensitizing compound using TKTD simulation model
Yumiko Nakayama1, Fumio Kishida, Hiroshi Kato
1Environmental Health Science Laboratory, Sumitomo Chemical Co., Ltd., 3-1-98 Konohanaku Kasugadenaka, Osaka, Japan. nakayamay2@sc.sumitoma-chem.co.jp
Abstract:
To investigate the safe handling of an industrial product, phenyl vinyl sulfone (PVS), which has an extremely high potential for dermal sensitization at low concentrations and positive mutagenicity, the maximum no-effect concentration for dermal deposits was obtained from dermal sensitization experiments. The systemic concentrations in the liver, which is considered to be a target tissue of mutation, were monitored using the TKTD (Toxico Kinetics Toxico Dynamics) model by inputting the maximum no-effect concentration of sensitization. The predicted highest concentration in the liver was compared with the no-effect level of mutation in the same tissue, which was derived from an in vitro mutagenicity study. The results showed that when this product is handled at lower concentrations, which may not induce dermal sensitization, the systemic concentrations would be lower than those causing mutation in the liver. In workplaces, conditions that prevent dermal sensitization caused by PVS could also protect against the mutagenicity of this compound.
Related Concept Videos
Toxicokinetics: Overview
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Pharmacodynamic Models: Linear Concentration–Effect Model
Pharmacokinetic–Pharmacodynamic Relationship: Model Components
Physiological Pharmacokinetic Models: Assumption with Protein Binding