Publication Year

Patlewicz G. 2020. Navigating the minefield of computational toxicology and informatics: Looking back and charting a new horizon. Front Toxicol 2:2; doi: 10.3389/ftox.2020.00002. PMID: 35296116.

Zorn KM, Foil DH, Lane TR, Russo DP, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Machine learning models for estrogen receptor bioactivity and endocrine disruption prediction. Environ Sci Technol 54(19):12202–12213; doi: 10.1021/acs.est.0c03982. PMID: 32857505.

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.

Zorn KM, Foil DH, Lane TR, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Comparing machine learning models for aromatase (P450 19A1). Environ Sci Technol 54(23):15546–15555; doi: 10.1021/acs.est.0c05771. PMID: 33207874.

Pham LL, Borghoff SJ, Thompson CM. 2020. Comparison of threshold of toxicological concern (TTC) values to oral reference dose (RfD) values. Regul Toxicol Pharmacol 113(June):104651; doi: 10.1016/j.yrtph.2020.104651. PMID: 32229245.

Chappell GA, Britt JK, Borghoff SJ. 2020. Systematic assessment of mechanistic data for FDA-certified food colors and neurodevelopmental processes. Food Chem Toxicol 140(Jun):111310; doi: 10.1016/j.fct.2020.111310. PMID: 32275932.

Watanabe M, Rogers JM. 2020. Introduction to “The Trouble with Plastics” special issue. Birth Defects Res 112(17):1297–1299; doi: 10.1002/bdr2.1795. PMID: 32896956.

Wikoff DS, Bennett DC, Brorby GP, Franke KS. 2020. Evaluation of potential human health risk associated with consumption of edible products from livestock fed ration supplemented with Red Lake Diatomaceous Earth. Food Addit Contam A 37(5):804-814; doi: 10.1080/19440049.2020.1727963. PMID: 32134694.

Rovida C, Barton-Maclaren T, Benfenati E, Caloni F, Chandrasekera PC, Chesne C, Cronin MTD,.., Patlewicz G, et al. 2020. Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology. ALTEX 37(4):579-606; doi: 10.14573/altex.1912181. PMID: 32369604.

Ring C, Fitch S, Haws L, Harris M, Wikoff D. Quantitative integration of dose-response data for relative potency estimates of dioxin-like chemicals. Poster for Society of Toxicology, Virtual Annual Meeting, 2020.