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Quantitative Adverse Outcome Pathway (qAOP) models for toxicity prediction

Spinu, N, Cronin, MTD, Enoch, SJ, Madden, JC and Worth, A (2020) Quantitative Adverse Outcome Pathway (qAOP) models for toxicity prediction. Archives of Toxicology, 94. pp. 1497-1510. ISSN 0340-5761 (Accepted)

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Abstract

The quantitative adverse outcome pathway (qAOP) concept is gaining interest due to its potential regulatory applications in chemical risk assessment. Even though an increasing number of qAOP models are being proposed as computational predictive tools, there is no framework to guide their development and assessment. As such, the objectives of this review were to: (i) analyse the definitions of qAOPs published in the scientific literature, (ii) define a set of common features of existing qAOP models derived from the published definitions, and (iii) identify and assess the existing published qAOP models and associated software tools. As a result, five probabilistic qAOPs and ten mechanistic qAOPs were evaluated against the common features. The review offers an overview of how the qAOP concept has advanced and how it can aid toxicity assessment in the future. Further efforts are required to achieve validation, harmonisation and regulatory acceptance of qAOP models.

Item Type: Article
Uncontrolled Keywords: 1115 Pharmacology and Pharmaceutical Sciences
Subjects: R Medicine > RA Public aspects of medicine > RA1190 Toxicology. Poisions
R Medicine > RM Therapeutics. Pharmacology
Divisions: Pharmacy & Biomolecular Sciences
Publisher: Springer Verlag
Date Deposited: 04 May 2020 11:46
Last Modified: 12 Jan 2022 16:30
DOI or Identification number: 10.1007/s00204-020-02774-7
URI: https://researchonline.ljmu.ac.uk/id/eprint/12875

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