Publication Topic

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.

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. Comparing machine learning models for aromatase (P450 19A1). Environ Sci Technol 54(23):15546–15555; doi: 10.1021/acs.est.0c05771. PMID: 33207874.

Bell S, Mansouri K, Phillips J, Chang X, Abedini J, Karmaus AL, Lea I, Rai R, Allen DG, Casey W, Kleinstreuer NC. NCEATM computational tools and resources supporting alternative test method development and evaluation. Abstract #2976-P607, Society of Toxicology 59th Annual Meeting, Anaheim CA, March 2020.

Helman G, Patlewicz G, Shah I. 2019. Quantitative prediction of repeat dose toxicity values using GenRA. Regul Toxicol Pharmacol 109(Dec):104480; doi: 10.1016/j.yrtph.2019.104480. PMID: 31550520.

Sheridan E, Moose J, Liu Y, Martini C, Lea I, Fostel J. NTP high-level summary data collections in the Chemical Effects in Biological Systems (CEBS) database. Poster PS01-0606. Presented at 15th International Congress of Toxicology, Honolulu, HI, July 2019.

Bhawana B, Lea I, Liu Y, Martini C, Fostel J. Access to National Toxicology Program histopathology lesion collection in Chemical Effects in Biological Systems (CEBS) database. Poster P040. Presented at the 38th Annual Symposium of Society for Toxicologic Pathology, Raleigh, NC, June 2019.

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.

Martini C, Liu Y, Motti D, Johnson J, McCormick K, Lea I, Fostel F. Integrating assay datasets into Chemical Effects in Biological Systems (CEBS). Abstract #1749-P125, Society of Toxicology 58th Annual Meeting, Baltimore, MD, March 2019.