Title: Script for Chemical Mixtures in Household Environments In Silico Predictions and In Vitro Testing of Potential Joint Toxicities in Human Liver Cells

Accession Number: Not available

Link to Dataset: https://github.com/Ragerlab/Script_for_Chemical-Mixtures-in-Household-Environments-In-Silico-Predictions-and-In-Vitro-Testing-of

Repository: GitHub

Data Type(s): Code

Summary: Script associated with the manuscript titled 'Chemical Mixtures in Household Environments: In Silico Predictions and In Vitro Testing of Potential Joint Toxicities in Human Liver Cells' in preparation for submission.

Publication(s) associated with this dataset:

• Carberry C, Turla T, Koval L, Hartwell HJ, Fry RC, Rager JE. 2022. Chemical mixtures in household environments: In silico prediction and in vitro testing of potential join action on PPARy in human liver cells. Toxics 10(5):199. doi:10.3390/toxics10050199 PMID:35622613 PMCID:PMC9146550

Project(s) associated with this dataset:

• University of North Carolina-Chapel Hill: Data Management and Analysis Core (DMAC)
• University of North Carolina-Chapel Hill: Molecular Drivers of Arsenic-Induced Diabetes