Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods

• Автори: Chantel I. Nicolas (Автор), Matthew W. Linakis (Автор), Melyssa S. Minto (Автор), Kamel Mansouri (Автор), Rebecca A. Clewell (Автор), Miyoung Yoon (Автор), John F. Wambaugh (Автор), Grace Patlewicz (Автор), Patrick D. McMullen (Автор), Melvin E. Andersen (Автор), Harvey J. Clewell III (Автор)
• Формат: Книга
• Опубліковано: Frontiers Media S.A., 2022-10-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

Current computational technologies hold promise for prioritizing the testing of the thousands of chemicals in commerce. Here, a case study is presented demonstrating comparative risk-prioritization approaches based on the ratio of surrogate hazard and exposure data, called margins of exposure (MoEs)...