Publication Topic

Ring C, Sipes NS, Hsieh JH, Carberry C, Koval LE, Klaren WD, Harris MA, Auerbach SS, Rager JE. 2021. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high throughput toxicokinetics. Comput Toxicol 18(May):100166; doi: 10.1016/j.comtox.2021.100166. PMID: 34013136.

Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D et al. 2021. CATMoS: Collaborative acute toxicity modeling suite. Environ Health Perspect 129(4):47013; doi: 10.1289/EHP8495. PMID: 33929906.

Dirven H, Vist GE, Bandhakavi S, Mehta J, Fitch SE, Pound P, Ram R, Kincaid B, Leenaars CHC, Chen M, Wright RA, Tsaioun K. 2021. Performance of preclinical models in predicting drug-induced liver injury in humans: A systematic review. Sci Reports 11(1)6403; doi: https://doi.org/10.1038/s41598-021-85708-2. PMID: 33737635.

Brozek JL, Canelo-Aybar C, Akl EA, Bowen JM, Bucher J, Chiu WA, Cronin M, Djulbegovic B,…, Patlewicz G, et al. 2021. GRADE Guidelines 30: The GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making. J Clin Epidemiol 129(Jan):138-150; doi: 101016/j.jclinepi.2020.09.018. PMID: 32980429.

Nelms MD, Karmaus AL, Patlewicz G. 2020. An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity. Comput Toxicol 16(Nov):100135; doi: 10.1016/j.comtox.2020.100135. PMID: 33163737.

Zorn KM, Foil DH, Lane TR, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Comparison of machine learning models for the androgen receptor. Environ Sci Technol 54(21):13690–13700; doi: 10.1021/acs.est.0c03984. PMID: 33085465.

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.

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.

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.

Liu J, Patlewicz G, Williams A, Thomas RS, Shah I. 2017. Predicting organ toxicity using in vitro bioactivity data and chemical structure. Chem Res Toxicol 30(11):2046-2059; doi: 10.1021/acs.chemrestox.7b00084. PMID: 28768096.