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

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

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)...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Chantel I. Nicolas, Matthew W. Linakis, Melyssa S. Minto, Kamel Mansouri, Rebecca A. Clewell, Miyoung Yoon, John F. Wambaugh, Grace Patlewicz, Patrick D. McMullen, Melvin E. Andersen, Harvey J. Clewell III
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Frontiers Media S.A. 2022-10-01
Ráidu:Frontiers in Pharmacology
Fáttát:
Threshold of toxicological concern (TTC)
computational toxicology
in silico
high-throughput risk prioritization
margin of exposure (MoE)
Liŋkkat:https://www.frontiersin.org/articles/10.3389/fphar.2022.980747/full

Interneahtta

https://www.frontiersin.org/articles/10.3389/fphar.2022.980747/full

Geahča maid