2017 (8 POSTS)
Patlewicz G , Helman G, Pradeep P, Shah I. 2017. Navigating through the minefield of read-across tools: A review of in silico tools for grouping. Comput Toxicol 3(Aug):1-18; doi: 10.1016/j.comtox.2017.05.003 . PMID: 30221211.
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Topics: read-across
Judson RS, Martin M, Patlewicz G , Wood CE. 2017. Retrospective mining of toxicology data to discover multispecies and chemical class effects: Anemia as a case study. Regul Toxicol Pharmacol 86(June):74-92; doi: 10.1016/j.yrtph.2017.02.015 . PMID: 28242142.
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Topics: modeling
Fitzpatrick J, Patlewicz G . 2017. Application of IATA – A case study in evaluating the global and local performance of a Bayesian network model for skin sensitization. SAR QSAR Environ Res 28(4):297-310; doi: 10.1080/1062936X.2017.1311941 . PMID: 28423913.
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Topics: Adverse outcome pathways (AOPs) , Bayesian modeling
Fitzpatrick JM, Roberts DW, Patlewicz G . 2017. What determines skin sensitization potency–Myths, maybes and realities. The 500 molecular weight cut-off – An updated analysis. J Appl Toxicol 37(1):105-116; doi: 10.1002/jat.3348 . PMID: 27283458.
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Topics: Exposure Assessment
Fitzpatrick JM, Roberts DW, Patlewicz G . 2017. Is skin penetration a determining factor in skin sensitization potential and potency? Refuting the notion of a LogKow threshold for skin sensitization. J Appl Toxicol 37(1):117-127; doi: 10.1002/jat.3354 . PMID: 27357739.
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Topics: Exposure Assessment
2016 (9 POSTS)
Patlewicz G , Casati S, Basketter D, Asturiol D, Roberts DW, Lepoittevin J-P, Aschberger K. 2016. Can currently available non-animal methods detect pre and pro haptens relevant for skin sensitization? Regul Toxicol Pharmacol 82(10):147-155;p doi: 10.1016/j.yrtph.2016.08.007 . PMID: 27569201.
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Topics: Adverse outcome pathways (AOPs)
Roberts DW, Api AM, Patlewicz G , Schultz TW. 2016. Chemical applicability domain of the Local Lymph Node Assay (LLNA) for skin sensitization potency. Part 1. Underlying physical organic chemistry principles and the extent to which they are represented in the LLNA validation dataset. Regul Toxicol Pharmacol 80(Oct):247-254; doi: 10.1016/j.yrtph.2016.07.007 . PMID: 27424000.
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Topics: computational toxicology
Worth A, Patlewicz G . 2016. Integrated approaches to testing and assessment. Adv Exp Med Biol 856:317-342; doi: 10.1007/978-3-319-33826-2_13 . PMID: 27671729.
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Topics: Adverse outcome pathways (AOPs) , safety assessment
Patlewicz G , Worth AP, Ball N. 2016. Validation of computational methods. Adv Exp Med Biol 856:165-187; doi: 10.1007/978-3-319-33826-2_6 . PMID: 27671722.
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Topics: computational toxicology , read-across
Richard A, Judson R, Houck K, Grulke C, Volarath P, Thillainadarajah I, Yang C,…, Patlewicz G , et al. 2016. The ToxCast chemical landscape: Paving the road to 21st century toxicology. Chem Res Toxicol 29(8):1225-1251; doi: 10.1021/acs.chemrestox.6b00135 . PMID: 27367298.
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Topics: computational toxicology
Shah I, Liu J, Judson RS, Thomas R, Patlewicz G . 2016. Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information. Reg Toxicol Pharmacol 79(Aug):12-24; doi: 10.1016/j.yrtph.2016.05.008 . PMID: 27174420.
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Topics: read-across
Samuel GO, Hoffmann S, Wright R, Lalu MM, Patlewicz G , Becker RA, DeGeorge GL, Fergusson D, et al. 2016. Guidance on assessing the methodological and reporting quality of toxicologically relevant studies: A scoping review. Environ Int 92-93(July-Aug):630-646; doi: 10.1016/j.envint.2016.03.010 . PMID: 27039952.
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