Publication Topic

Covington TR, Borghoff SJ, Bacigalupi L, O’Neal S, Cook B, Nelms M, et al. Prediction of chemical suitability for screening in a high-throughput assay platform using an in silico mass balance model. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

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.