Building scientific confidence in metabolic similarity in read-across through the use of in vitro, in silico and analytical data

Patlewicz, Grace; Lizarraga, Lucina; Owens, Elisabeth; Lambert, Jason; Wesselkamper, Scott; Zhao, Jay; Hawkins, Belinda; Dean, Jeffry; Williams, Antony; Shah, Imran; Favela, Kristin; Yau, Alice; Bonzo, Jessica; Moody, LR; Thomas, Russell; Wambaugh, John

doi:10.23645/epacomptox.6856580.v1

Patlewicz_NCEA_NCCT_Metabolism_ACS_070318_cleared.pdf (765.18 kB)

Building scientific confidence in metabolic similarity in read-across through the use of in vitro, in silico and analytical data

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posted on 2018-07-24, 19:19 authored by Grace Patlewicz, Lucina Lizarraga, Elisabeth Owens, Jason Lambert, Scott Wesselkamper, Jay Zhao, Belinda Hawkins, Jeffry Dean, Antony WilliamsAntony Williams, Imran Shah, Kristin Favela, Alice Yau, Jessica Bonzo, LR Moody, Russell Thomas, John Wambaugh

Presentation at American Chemical Society Meeting March 2018

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Center for Computational Toxicology and Exposure

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read-across toxicokinetics metabolism predictions high-throughput screening Toxicology

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Building scientific confidence in metabolic similarity in read-across through the use of in vitro, in silico and analytical data

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