2020
Thompson CM , Donahue DA, Hobbs C, Costecalde Y, Franzen A , Suh M , Proctor DM, Harris MA. 2020. Exposure to environmentally-relevant concentrations of hexavalent chromium does not induce ovarian toxicity in mice. Regul Toxicol Pharmacol 116:104729; doi: 10.1016/j.yrtph.2020.104729 .
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Topics: chromium , Environmental Science , Metals
Whaley P, Aiassa E, Beausoleil C, Beronius A, Bilotta, G, Boobis A, de Vries R, Hanberg A, Hoffman S, Hunt N, Kwiatkowski CF, Lam J, Lipworth S, Martin O, Randall, N, Rhomberg L, Rooney AA, Holger J, Schünemann HJ, Wikoff D , Wolffe T, Halsall C. 2020. Recommendations for the conduct of systematic reviews in toxicology and environmental health research (COSTER). Environ Int 143:105926.
Topics: Systematic Review
Urban JD , Wikoff DS , Chappell GA, Harris C, Haws LC. 2020. Systematic evaluation of mechanistic data in assessing in utero exposures to trichloroethylene and development of congenital heart defects. Toxicology 436(30 April):152427; doi: 10.1016/j.tox.2020.152427 . PMID: 32145346.
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Topics: trichloroethylene
Thompson 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 .
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Topics: formaldehyde , Toxicology
Grimm 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.
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Topics: PCBs
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.
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Topics: computational toxicology
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.
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Topics: computational toxicology , modeling
House 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 .
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Topics: NAMs
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.
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Topics: modeling
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.
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