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University of North Carolina-Chapel Hill: Dataset Details, ID=Not available

Superfund Research Program

Data Management and Analysis Core (DMAC)

Project Leader: Stanley Carlton Ahalt
Co-Investigators: Fei Zou, Julia E. Rager, Haibo Zhou, William Christopher Lenhardt
Grant Number: P42ES031007
Funding Period: 2020-2025
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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
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