Publication Topic

Wambaugh JF, Sipes NS, Padilla Mercado G, Arnot JA, Bertato L, Brown TN, Chirico N,…, Patlewicz G, et al. 2026. Collaborative evaluation of in silico predictions for high throughput toxicokinetics. Toxicol In Vitro 110(Jan):106150; doi: 10.1016/j.tiv.2025.106150. ePub September 20, 2025. PMID: 40983213.

Beal MA, Gagne M, Kulkarni SA, Patlewicz G, Thomas RS, Barton-Maclaren TS. 2022. Implementing in vitro bioactivity to modernize priority setting of chemical inventories. ALTEX 39(1):123-139; doi: 10.14573/altex.2106171. PMID: 34818430.

Ring C, Sipes NS, Hsieh JH, Carberry C, Koval LE, Klaren WD, Harris MA, Auerbach SS, Rager JE. 2021. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high throughput toxicokinetics. Comput Toxicol 18(May):100166; doi: 10.1016/j.comtox.2021.100166. PMID: 34013136.

Pradeep P, Patlewicz G, Pearce R, Wambaugh J, Wetmore B, Judson R. 2020. Using chemical structure information to develop predictive models for in vitro toxicokinetic parameters to inform high-throughput risk-assessment. Comput Toxicol 16(Nov):100136; doi: 10.1016/j.comtox.2020.100136. PMID: 34124416.

Nelms MD, Lougee R, Roberts DW, Richard A, Patlewicz G. 2019. Comparing and contrasting the coverage of publicly available structural alerts for protein binding. Comput Toxicol 12(Nov):100100; doi: 10.1016/j.comtox.2019.100100. PMID: 37701288.

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.