2019 (10 POSTS)
Webster F, Gagne M, Patlewicz G , Pradeep P, Trefiak N, Judson R, Barton-Maclaren TS. 2019. Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study. Regul Toxicol Pharmacol 106(Aug):278-291; doi: 10.1016/j.yrtph.2019.05.017 . PMID: 31121201.
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Topics: NAMs
Patlewicz G , Lizarraga L, Rua D, Allen DG, Daniel A, Fitzpatrick SC, Garcia-Reyero N, Gordon J, et al. 2019. Exploring current read-across applications and needs among selected US federal agencies. Regul Toxicol Pharmacol 106(Aug):197-209; doi: 10.1016/j.yrtph.2019.05.011 . PMID: 31078681.
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Topics: NAMs
Thomas RS, Bahadori T, Buckley T, Cowden J, Deisenroth C, Dionisio K, Frithsen J,…, Patlewicz G , et al. 2019. The next generation of computational toxicology at the US Environmental Protection Agency. Toxicol Sci 169(2):317-332; doi: 10.1093/toxsci/kfz058 . PMID: 30835285.
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Topics: computational toxicology , toxicokinetics
Helman G, Shah I, Williams AJ, Edwards J, Dunne J, Patlewicz G . 2019. Generalized Read-Across (GenRA): A workflow implemented into the EPA CompTox Chemicals Dashboard. ALTEX 36(3):462-465; doi: 10.14573/altex.1811292 . PMID: 30741315.
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Topics: NAMs
Pradeep P, Carlson LM, Judson R, Lehmann GM, Patlewicz G . 2019. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls. Regul Toxicol Pharmacol 101(Feb):12-23; doi: 10.1016/j.yrtph.2018.10.013 . PMID: 30359698.
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Topics: PCBs
Patlewicz G , Richard AM, Williams AJ, Grulke CM, Sams R, Lambert J, Noyes P, DeVito MJ, et al. 2019. A chemical category-based prioritization approach for selecting 75 per- and polyfluoroalkyl substances (PFAS) for tiered toxicity and toxicokinetic testing. Environ Health Perspect 127(1):14501; doi: 10.1289/EHP4555 . PMID: 30632786.
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Topics: PFAS
2018 (11 POSTS)
Kleinstreuer NC, Karmaus A, Mansouri K, Allen D, Fitzpatrick J, Patlewicz G . 2018. Predictive models for acute oral systemic toxicity: A workshop to bridge the gap from research to regulation. Comput Toxicol 8(11):21-24; doi: 10.1016/j.comtox.2018.08.002 . PMID: 30320239.
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Topics: computational toxicology
Helman G, Shah I, Patlewicz G . 2018. Extending the Generalized Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance. Comput Toxicol 8(Nov):34-50; doi: 10.1016/j.comtox.2018.07.001 . PMID: 31667446.
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Topics: NAMs
Nelms MD, Mellow CL, Enoch SJ, Judson RS, Patlewicz G , Richard AM, Madden JM, Cronin MTD, Edwards SW. 2018. A mechanistic framework for integrating chemical structure and high-throughput screening results to improve toxicity predictions. Comput Toxicol 8(Nov):1-12; doi: 10.1016/j.comtox.2018.08.003 . PMID: 36779220.
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Topics: Adverse outcome pathways (AOPs) , computational toxicology
Clippinger AJ, Allen D, Behrsing H, BéruBé KA, Bolger MA, Casey W, DeLorme M,…, Patlewicz G , et al. 2018. Pathway-based predictive approaches for non-animal assessment of acute inhalation hazard determination. Toxicol in Vitro 52(Oct):131-145; doi: 10.1016/j.tiv.2018.06.009 . PMID: 29908304.
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Topics: Adverse outcome pathways (AOPs) , risk assessment
Fourches D, Williams AJ, Patlewicz G , Shah I, Grulke C, Wambaugh J, et al. 2018. Computational tools for ADMET profiling. Chapter 8 in: Ekins E (ed), Computational Toxicology: Risk Assessment for Chemicals, pp. 211–244. doi: 10.1002/9781119282594.ch8.
Topics: computational toxicology
Patlewicz G , Wambaugh JF, Felter S, Simon TW, Becker RA. 2018. Utilizing Threshold of Toxicological Concern (TTC) with High Throughput Exposure Predictions (HTE) as a risk-based prioritization approach for thousands of chemicals. Comput Toxicol 7(Aug):58-67; doi: 10.1016/j.comtox.2018.07.002 . PMID: 31338483.
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Topics: modeling , NAMs
Myatt GJ, Ahlberg E, Akahori Y, Allen D, Amberg A, Anger LT, Aptula A,…, Patlewicz G , et al. 2018. In silico toxicology protocols. Regul Toxicol Pharmacol 96(July):1-17; doi: 10.1016/j.yrtph.2018.04.014 . PMID: 29678766.
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Topics: computational toxicology
Fitzpatrick JM, Roberts DW, Patlewicz G . 2018. An evaluation of selected (Q)SARs/expert systems for predicting skin sensitization potential. SAR QSAR Environ Res 29(6):439-468; doi: 10.1080/1062936X.2018.1455223 . PMID: 29676182.
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Topics: modeling
Patlewicz G , Cronin MTD, Helman G, Lambert JC, Lizarraga LE, Shah I. 2018. Navigating through the minefield of read-across frameworks: A commentary perspective. Comput Toxicol 6(May):39-54; doi: 10.1016/j.comtox.2018.04.002 .
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Topics: computational toxicology , NAMs
Clippinger A, Allen D, Jarabek AM, Corvaro M, Gaça M, Gehen S, Hotchkiss JA, Patlewicz G , et al. 2018. Alternative approaches for acute inhalation toxicity testing to address global regulatory and non-regulatory data requirements: An international workshop report. Toxicol In Vitro 48(April):53-70; doi: 10.1016/j.tiv.2017.12.011 . PMID: 29277654.
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Topics: NAMs
Roberts DW, Patlewicz G . 2018. Non-animal assessment of skin sensitization hazard – Is an integrated testing strategy needed, and if so what should be integrated? J Appl Toxicol 38(1):41-50; doi: 10.1002/jat.3479 . PMID: 28543848.
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