Computational Modeling of Mixture Toxicity-Reference-Cited by-同舟云学术

Computational Modeling of Mixture Toxicity

Published:2022 Issue: Volume: Page:561-587
ISSN:1064-3745
Container-title:Methods in Molecular Biology
language:
Short-container-title:

Author:

Chatterjee Mainak,Roy Kunal

Publisher

Springer US

Link

https://link.springer.com/content/pdf/10.1007/978-1-0716-1960-5_22

Reference71 articles.

1. Hartung T, Rovida C (2009) Chemical regulators have overreached. Nature 460:1080–1081

2. Debunking the myths: are there really 84,000 chemicals?, https://www.chemicalsafetyfacts.org/chemistry-context/debunking-myth-chemicals-testing-safety/

3. Altenburger R, Nendza M, Schuurmann G (2003) Mixture toxicity and its modeling by quanitative structre activity relationship. Environ Toxicol Chem 22:1900–1915

4. Commission E (2003) Technical guidance document in support of commission directive 93/67/EEC on risk assessment for new notified substances and commission regulation (EC)no. 1488/94 on risk assessment for existing substances

5. Altenburger R, Greco WR (2009) Extrapolation concepts for dealing with multiple contamination in environmental risk assessment. Integr Environ Assess Manag 5:62

Cited by 5 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. “Data fusion” quantitative read-across structure-activity-activity relationships (q-RASAARs) for the prediction of toxicities of binary and ternary antibiotic mixtures toward three bacterial species;Journal of Hazardous Materials;2023-10

2. Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees;Journal of Hazardous Materials;2023-10

3. Effects of high pressure and temperature conditions on the chemical fate of flowback water related chemicals;Science of The Total Environment;2023-08

4. A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures;Computational Toxicology;2023-02

5. First report on soil ecotoxicity prediction against Folsomia candida using intelligent consensus predictions and chemical read-across;Environmental Science and Pollution Research;2022-07-13