title: Development of an in silico profiler for respiratory sensitisation.
abstract: In this article, we outline work that led the QSAR and Molecular Modelling Group at Liverpool John Moores University to be jointly awarded the 2013 Lush Science Prize. Our research focuses around the development of in silico profilers for category formation within the Adverse Outcome Pathway paradigm. The development of a well-defined chemical category allows toxicity to be predicted via read-across. This is the central approach used by the OECD QSAR Toolbox. The specific work for which we were awarded the Lush Prize was for the development of such an in silico profiler for respiratory sensitisation. The profiler was developed by an analysis of the mechanistic chemistry associated with covalent bond formation in the lung. The data analysed were collated from clinical reports of occupational asthma in humans. The impact of the development of in silico profilers on the Three Rs is also discussed.
authors: QSAR and Molecular Modelling Group, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
authors: Steven J
authors: SJ
authors: Enoch
authors: QSAR and Molecular Modelling Group, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
authors: David W
authors: DW
authors: Roberts
authors: QSAR and Molecular Modelling Group, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
authors: Judith C
authors: JC
authors: Madden
authors: QSAR and Molecular Modelling Group, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
authors: Mark T D
authors: MT
authors: Cronin
mesh_terms: D000826:Animal Testing Alternatives; D001249:Asthma / Q000139:chemically induced*; D003198:Computer Simulation; D008168:Lung / Q000737:chemistry*; D008954:Models, Biological; D018675:Toxicity Tests