Abstract
Adverse outcome pathways (AOPs) describe toxicological processes from a dynamic perspective by linking a molecular initiating event to a specific adverse outcome via a series of key events and key event relationships. In the field of computational toxicology, AOPs can potentially facilitate the design and development of in silico prediction models for hazard identification. Various AOPs have been introduced for several types of hepatotoxicity, such as steatosis, cholestasis, fibrosis, and liver cancer. This chapter provides an overview of AOPs on hepatotoxicity, including their development, assessment, and applications in toxicology.
Original language | English |
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Title of host publication | Computational Toxicology |
Subtitle of host publication | Methods and Protocols |
Editors | Orazio Nicolotti |
Place of Publication | New York |
Publisher | Humana Press |
Chapter | 12 |
Pages | 249-273 |
Number of pages | 25 |
Edition | 2 |
ISBN (Electronic) | 978-1-0716-4003-6 |
ISBN (Print) | 978-1-0716-4002-9, 978-1-0716-4005-0 |
DOIs | |
Publication status | Published - 24 Sept 2024 |
Publication series
Name | Methods in Molecular Biology |
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Publisher | Humana |
Volume | 2834 |
ISSN (Print) | 1064-3745 |
ISSN (Electronic) | 1940-6029 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Keywords
- AOP
- Cancer
- Cholestasis
- Fibrosis
- Liver toxicity
- Steatosis