AIMC Topic: Rotifera

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First report on Quantitative Structure-Toxicity Relationship modeling approaches for the prediction of acute toxicity of various organic chemicals against rotifer species.

The Science of the total environment Apr 10, 2025
Nowadays, organic chemicals are crucial components in virtually every aspect of daily life, serving as indispensable elements for modern society. The ongoing synthesis of chemicals and the various potential harmful effects on living organisms are pro...
Machine Learning Animals Organic Chemicals Water Pollutants, Chemical Linear Models Rotifera Quantitative Structure-Activity Relationship Toxicity Tests, Acute
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An artificial intelligence-based model for predicting reproductive toxicity of bisphenol analogues mixtures to the rotifer Brachionus calyciflorus.

The Science of the total environment Apr 16, 2024
The joint toxicity effects of mixtures, particularly reproductive toxicity, one of the main causes of aquatic ecosystem degradation, are often overlooked as it is impractical to test all mixtures. This study developed and evaluated the following mode...
Artificial Intelligence Animals Water Pollutants, Chemical Phenols Reproduction Benzhydryl Compounds Rotifera Quantitative Structure-Activity Relationship
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Inhibition to crucial enzymes in the lethal effects of the dinoflagellate Karenia mikimotoi on the rotifer Brachionus plicatilis.

Marine environmental research Dec 21, 2019
Blooms of the dinoflagellate Karenia mikimotoi have cause great financial losses to the marine aquaculture industry. However, the toxicity mechanism of this species is still not fully known. In this study, we evaluated the short-term effects of K. mi...
Animals Oxidative Stress Aquaculture Adenosine Triphosphatases Dinoflagellida Harmful Algal Bloom Rotifera Sodium-Potassium-Exchanging ATPase
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