Works (2)

Updated: July 19th, 2023 21:17

2011 journal article

Mechanistic Computational Model of Steroidogenesis in H295R Cells: Role of Oxysterols and Cell Proliferation to Improve Predictability of Biochemical Response to Endocrine Active Chemical-Metyrapone


By: M. Breen n, M. Breen*, N. Terasaki, M. Yamazaki, A. Lloyd n & R. Conolly*

author keywords: endocrine disrupting chemicals; mechanistic computational model; in vitro toxicology; metyrapone; H295R cells; steroid biosynthesis
MeSH headings : Adrenocortical Carcinoma / drug therapy; Adrenocortical Carcinoma / metabolism; Cell Line, Tumor; Cell Proliferation / drug effects; Cell Survival / drug effects; Cholesterol / analogs & derivatives; Cholesterol / metabolism; Computational Biology / methods; Endocrine Disruptors / toxicity; Enzyme Inhibitors / toxicity; Humans; Metyrapone / toxicity; Models, Theoretical; Predictive Value of Tests; Steroids / metabolism
TL;DR: The improvement of the extended, more biologically realistic model to predict CHOL and steroid concentrations in H295R cells and medium and their dynamic biochemical response to the EAC, MET is demonstrated. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2007 article

Mechanistic computational model of ovarian steroidogenesis to predict biochemical responses to endocrine active compounds

Breen, M. S., Villeneuve, D. L., Breen, M., Ankley, G. T., & Conolly, R. B. (2007, June). ANNALS OF BIOMEDICAL ENGINEERING, Vol. 35, pp. 970–981.

author keywords: steroid biosynthesis; mathematical model; sensitivity analysis; endocrine disrupting chemicals; fadrozole; fish; cellular metabolism
MeSH headings : Animals; Computer Simulation; Endocrine Disruptors / administration & dosage; Estradiol / biosynthesis; Female; Fishes / physiology; Gonadal Steroid Hormones / biosynthesis; Models, Biological; Ovary / drug effects; Ovary / metabolism; Signal Transduction / drug effects; Signal Transduction / physiology; Testosterone / biosynthesis
TL;DR: The feasibility of using the steroidogenesis model to predict T and E2 concentrations, in vitro, while reducing model complexity with a steady-state assumption is demonstrated, useful for pharmaceutical development and environmental health assessments with EAC. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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