The development of quantitative AOPs

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.