Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis-Reference-Cited by-同舟云学术

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Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis

Published:2022-11 Issue: Volume:24 Page:100245
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Foster Miran J,Patlewicz Grace,Shah Imran,Haggard Derik E.,Judson Richard S.,Paul Friedman Katie

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference84 articles.

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2. The use of purified rat Leydig cells complements the H295R screen to detect chemical-induced alterations in testosterone production;Botteri Principato;Biol. Reprod.,2018

3. Computational model of steroidogenesis in human H295R cells to predict biochemical response to endocrine-active chemicals: model development for metyrapone;Breen;Environ. Health Perspect.,2010

4. Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model;Browne;Environ. Sci. Technol.,2015

5. Development of a curated Hershberger database;Browne;Reprod. Toxicol.,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning;Critical Reviews in Toxicology;2024-09-03

2. Evaluation of a high-throughput H295R homogenous time resolved fluorescence assay for androgen and estrogen steroidogenesis screening;Toxicology in Vitro;2023-10

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