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In silico toxicology protocols

Myatt, GJ, Ahlberg, E, Akahori, E, Allen, D, Amberg, A, Anger, LT, Aptula, A, Auerbach, S, Beilke, L, Bellion, P, Benigni,, R, Bercu, J, Booth, ED, Bower, D, Brigo, A, Burden, N, Cammerer, Z, Cronin, MTD, Cross, KP, Custer, L , Dettwiler, M, Dobo, K, Ford, KA, Fortin, MC, Gad-McDonald, SE, Gellatly, N, Gervais, V, Glover, KP, Glowienke, S, van Gompel, J, Gutsell, S, Hardy, B, Harvey, JS, Hillegass, J, Honma, M, Hsieh, JH, Hsu, CW, Hughes, K, Johnson, C, Jolly, R, Jones, D, Kemper, R, Kenyon, MO, Kim, MT, Kruhlak, NL, Kulkarni, SA, Kümmerer, K, Leavitt, P, Majer, B, Masten, S, Miller, S, Moser, J, Mumtaz, M, Muster, W, Neilson, L, Oprea, TI, Patlewicz, G, Paulino, A, Piparo, EL, Powley, M, Quigley, DP, Reddy, MV, Richarz, AN, Ruiz, P, Schilter, B, Serafimova, R, Simpson, W, Stavitskaya, L, Stidl, R, Suarez-Rodriguez, D, Szabo, DT, Teasdale, A, Trejo-Martin, A, Valentin, JP, Vuorinen, A, Wall, BA, Watts, P, White, AT, Wichard, J, Witt, KL, Woolley, A, Woolley, D, Zwickl, C and Hasselgren, C (2018) In silico toxicology protocols. Regulatory Toxicology and Pharmacology. ISSN 0273-2300

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Abstract

The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related predictions. This contribution articulates the information needed for protocols to support in silico predictions for major toxicological endpoints of concern (e.g., genetic toxicity, carcinogenicity, acute toxicity, reproductive toxicity, developmental toxicity) across several industries and regulatory bodies. Such novel in silico toxicology (IST) protocols, when fully developed and implemented, will ensure in silico toxicological assessments are performed and evaluated in a consistent, reproducible, and well-documented manner across industries and regulatory bodies to support wider uptake and acceptance of the approaches. The development of IST protocols is an initiative developed through a collaboration among an international consortium to reflect the state-of-the-art in in silico toxicology for hazard identification and characterization. A general outline for describing the development of such protocols is included and it is based on in silico predictions and/or available experimental data for a defined series of relevant toxicological effects or mechanisms. The publication presents a novel approach for determining the reliability of in silico predictions alongside experimental data. In addition, we discuss how to determine the level of confidence in the assessment based on the relevance and reliability of the information.

Item Type: Article
Uncontrolled Keywords: 1115 Pharmacology And Pharmaceutical Sciences
Subjects: R Medicine > RA Public aspects of medicine > RA1190 Toxicology. Poisions
Divisions: Pharmacy & Biomolecular Sciences
Publisher: Elsevier
Date Deposited: 18 Apr 2018 09:08
Last Modified: 20 Sep 2018 00:41
DOI or Identification number: 10.1016/j.yrtph.2018.04.014
URI: http://researchonline.ljmu.ac.uk/id/eprint/8506

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