Publications
All Publications
2020
Zorn KM, Foil DH, Russo DP, Clark AM, Hillwalker W, Feifarek D, Jones F, Klaren W, Brinkman A, Ekins S. Generation of machine-learning models to anticipate endocrine disruption. Society of Toxicology 59th Annual Meeting, virtual, 2020.
View AbstractBrinkman AM, Klaren WD, Feifarek DJ, Hillwalker W, Jones F, Zorn KM, Ekins S. Use of a weighted scheme for the interpretation and contextualization of in vitro and in silico-derived estrogenic endpoints. Society of Toxicology 59th Annual Meeting, virtual, 2020.
View AbstractThompson CM, Gentry R, Fitch S, Lu K, Clewell HJ. 2020. An updated mode of action and human relevance framework evaluation for formaldehyde-related nasal tumors. Crit Rev Toxicol 50(10):919–952; doi: 10.1080/10408444.2020.1854679.
View AbstractGrimm FA, Klaren WD, Li X, Lehmler HJ, Karmakar M, Robertson LW, Chiu WA. Rusyn I. 2020. Cardiovascular effects of polychlorinated biphenyls and their major metabolites. Environ Health Persp 128(7):77008; doi: 10.1289/EHP7030. PMID: 32701041.
View AbstractZorn 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.
View AbstractHouse JS, Grimm FA, Klaren WD, Dalzell A, Kuchi S, Zhang S, Lenz K, Boogaard PJ, Ketelsegers HB, Gant TW, Wright FA, Rusyn I. 2020. Grouping of UVCB substances with new approach methodologies (NAMs) data. ALTEX 38(1):123–137; doi: 10.14573/altex.2006262.
View AbstractZorn 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.
View AbstractZorn 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.
View AbstractChappell GA, Wikoff DS, Doepker CL, Borghoff SJ. 2020. Lack of potential carcinogenicity for acesulfame potassium — Systematic evaluation and integration of mechanistic data into the totality of the evidence. Food Chem Toxicol 141(July):111375; doi: 10.1016/j.fct.2020.111375.
View AbstractChappell GA, Wikoff DS, Doepker CL, Borghoff SJ. 2020. Lack of potential carcinogenicity for acesulfame potassium — Systematic evaluation and integration of mechanistic data into the totality of the evidence. Food Chem Toxicol 141(July):111375; doi: 10.1016/j.fct.2020.111375.
View Abstract