The development of quantitative AOPs

Irvin R. Schultz; Karen Watanabe-Sailor

doi:10.1007/978-3-319-66084-4_13

The development of quantitative AOPs

Irvin R. Schultz, Karen Watanabe-Sailor

Mathematical and Natural Sciences, School of (SMNS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Scopus citations

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 language	English (US)
Title of host publication	A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment
Publisher	Springer International Publishing
Pages	263-280
Number of pages	18
ISBN (Electronic)	9783319660844
ISBN (Print)	9783319660820
DOIs	https://doi.org/10.1007/978-3-319-66084-4_13
State	Published - 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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10.1007/978-3-319-66084-4_13

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The development of quantitative AOPs

Abstract

ASJC Scopus subject areas

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