The development of quantitative AOPs

Irvin R. Schultz, Karen Watanabe-Sailor

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations


A quantitative adverse outcome pathway (qAOP) is a mathematical/computational model that represents the dynamic processes linking a molecular initiating event with an adverse outcome. A unique feature that distinguishes a qAOP from other biologically based mathematical models is the prediction of key events that are part of the qualitative adverse outcome pathway and are measurable experimentally. This chapter reviews the evolution of qAOPs, describes methods to develop qAOPs, and provides two case study examples focused on reproduction in fish.

Original languageEnglish (US)
Title of host publicationA Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment
PublisherSpringer International Publishing
Number of pages18
ISBN (Electronic)9783319660844
ISBN (Print)9783319660820
StatePublished - Feb 24 2018

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • General Biochemistry, Genetics and Molecular Biology
  • General Medicine
  • Pharmacology, Toxicology and Pharmaceutics(all)


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