2022
Patlewicz G , Richard AM, Williams AJ, Judson RS, Thomas RS. 2022. Towards reproducible structure-based chemical categories for PFAS to inform and evaluate toxicity and toxicokinetic testing. Comput Toxicol 24(Nov):100250; doi: 10.1016/j.comtox.2022.100250 . PMID: 36969381.
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Publication: Manuscripts
Foster MJ, Patlewicz G , Shah I, Haggard DE, Judson RS, Paul Friedman K. 2022. Evaluating structure-based activity in a high throughput assay for steroid biosynthesis. Comput Toxicol 24(Nov):100245; doi: 10.1016/j.comtox.2022.100245 . PMID: 37841081.
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Publication: Manuscripts
Ponder J, Rajagopal R, Singal M, Baker N, Patlewicz G , Roggen E, Cochrane S, Sullivan K. 2022. “In Litero” screening. Retrospective evaluation of clinical evidence to establish a reference list of human chemical respiratory sensitizers. Front Toxicol 4(Jul 15):916370; doi: 10.3389/ftox.2022.916370 . PMID: 35910543.
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Publication: Manuscripts
Karmaus A, Mansouri K, To K, Blake B, Fitzpatrick J, Strickland J, Patlewicz G , Allen D, et al. 2022. Evaluation of variability across rat acute oral systemic toxicity studies. Toxicol Sci 188(1):34-47; doi: 10.1093/toxsci/kfac042 . PMID: 35426934.
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Publication: Manuscripts
Patlewicz G . 2022. Editorial: Reflections of the QSAR2021 meeting. Comput Toxicol 22(May):100221; doi: 10.1016/j.comtox.2022.100221 . PMID: 35252631.
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Publication: Manuscripts
Boyce M, Meyer B, Grulke C, Lizarraga L, Patlewicz G . 2022. Comparing the performance and coverage of selected in silico (liver) metabolism tools related to reported studies in the literature to inform analogue selection in read-across: A case study. Comput Toxicol 21(Feb):100208; doi: 10.1016/j.comtox.2021.100208 . PMID: 35386221.
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Publication: Manuscripts
Beal MA, Gagne M, Kulkarni SA, Patlewicz G , Thomas RS, Barton-Maclaren TS. 2022. Implementing in vitro bioactivity to modernize priority setting of chemical inventories. ALTEX 39(1):123-139; doi: 10.14573/altex.2106171 . PMID: 34818430.
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Publication: Manuscripts
2021
Shah I, Tate T, Patlewicz G . 2021. Generalized Read-Across prediction using genra-py. Bioinformatics 37(19):3380-3381; doi: 10.1093/bioinformatics/btab210 . PMID: 33772575.
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Publication: Manuscripts
Rovida C, Escher SE, Herzler M, Bennekou SH, Kamp H, Kroese DE, Maslankiewicz L, Moné MJ, Patlewicz G , et al. 2021. NAM-supported read-across: From case studies to regulatory guidance in safety assessment. ALTEX 38(1):140-150; doi: 10.14573/altex.2010062 . PMID: 33452529.
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Publication: Manuscripts
2020
House JS, Grimm FA, Klaren WD , Dalzell A, Kuchi S, Zhang S, Lenz K, Boogaard PJ, et al. 2020. Grouping of UVCB substances with new approach methodologies (NAMs) data. ALTEX 38(1):123–137; doi: 10.14573/altex.2006262 . PMID: 33086383.
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