The development of quantitative AOPs

Irvin R. Schultz, Karen Watanabe-Sailor

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
Pages263-280
Number of pages18
ISBN (Electronic)9783319660844
ISBN (Print)9783319660820
DOIs
StatePublished - Feb 24 2018
Externally publishedYes

ASJC Scopus subject areas

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

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