Host: The Japanese Society of Toxicology
Name : The 47th Annual Meeting of the Japanese Society of Toxicology
Date : 2020 -
Computer science has significantly contributed to toxicology. Data-driven research is indispensable for omics technologies, pathway analysis, and Quantitative Structure-Activity Relationship (QSAR) models for toxicity prediction. However, in order to safety evaluation, we need not only an informatics-oriented approach but also a philosophy-oriented ontological approach for accountability from a scientific viewpoint [1]. Furthermore, safety management requires support for sharing knowledge across disciplines and interoperating on how to reduce risk.
This presentation illustrates how ontology can be contributed to the drug safety evaluation with examples of a toxicity process ontology, TXPO, and a toxic process interpretable knowledge system, TOXPILOT (https://toxpilot.nibiohn.go.jp). Ontology identifies the intrinsic nature of the target from a domain-independent viewpoint and gives weighting and directions appropriately according to the user’s purpose. Knowledge infrastructure based on humans and computers interoperable serves heterogeneous bridging data and contributes to the progress of computational toxicology.
[1] Yamagata Y., Yamada H., and Horii I., Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection, J Toxicol Sci. 44(11):721-735, (2019)
