The use of quantitative structure-activity relationships to predict the acute and chronic toxicities of organic chemicals to fish-Reference-Cited by-同舟云学术

The use of quantitative structure-activity relationships to predict the acute and chronic toxicities of organic chemicals to fish

Published:1985-10 Issue:5 Volume:4 Page:595-606
ISSN:0730-7268
Container-title:Environmental Toxicology and Chemistry
language:en
Short-container-title:Environ Toxicol Chem

Author:

McCarty L. S.,Hodson P. V.,Craig G. R.,Kaiser K. L. E.

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Environmental Chemistry

Reference28 articles.

1. Evaluation of tests with early life stages of fish for predicting long-term toxicity;McKim;J. Fish. Res. Board Can.,1977

2. Structure-toxicity relationship for the fathead minnow, Pime-phales promelas: Narcotic industrial chemicals;Veith;Can. J. Fish. Aquat. Sci.,1983

3. Prediction of organic contaminant aquatic toxicity utilizing intraperitoneal injection and structure-activity relationships;Smith;Can. Tech. Report Fish. Aquat. Sci.,1983

4. Structure-activity relationships and additivity in fish toxicities of environmental pollutants;Konemann;Ecotoxicol. Environ. Safety,1980

5. Acute toxicity of fresh and weathered crude oils to Daphnia magna;Bobra;Chemosphere,1983

Cited by 50 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. Bridging the lab to field divide: Advancing oil spill biological effects models requires revisiting aquatic toxicity testing;Aquatic Toxicology;2023-03

2. Research output software for energetic materials based on observational modelling 2.1 (RoseBoom2.1©);Materials Advances;2022

3. A Mechanism-based QSTR Model for Acute to Chronic Toxicity Extrapolation: A Case Study of Antibiotics on Luminous Bacteria;Scientific Reports;2017-07-20

4. Evaluation of critical body residue data for acute narcosis in aquatic organisms;Environmental Toxicology and Chemistry;2013-08-22

5. A docking-based receptor library of antibiotics and its novel application in predicting chronic mixture toxicity for environmental risk assessment;Environmental Monitoring and Assessment;2012-11-11