The United States Environmental Protection Agency’s Center for Computational Toxicology and Exposure
Browse
Patlewicz_QSAR_RAx_ToxAssess_April28-2021.pdf (2.9 MB)

Building Scientific Confidence in the Development and Application of Objective Read-across Approaches

Download (2.9 MB)
presentation
posted on 2021-04-22, 13:43 authored by Grace Patlewicz, Imran ShahImran Shah, George Helman, Tia Tate, Willysha Jenkins
This work expands the GenRA read-across approach to incorporate enhanced means for categorizing and grouping chemicals to improve estimation of toxicities. This would include incorporating other similarity contexts (e.g. reactivity, bioactivity, metabolic), taking advantage of enriched chemotype inferences where applicable. This product provides regulatory scientists, students and researchers with the ability to effectively access and exploit the many in silico data streams to support different regulatory purposes and supports current Agency efforts to reduce mammal study requests by 30% by 2025, and completely eliminate all mammal study requests and funding by 2035.

History

Usage metrics

    Center for Computational Toxicology and Exposure

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC