Safer and greener chemicals for the aquatic ecosystem: Chemometric modeling of the prolonged and chronic aquatic toxicity of chemicals on Oryzias latipes
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引用次数: 0
Abstract
In the modern era, chemicals and their products have been used everywhere like agriculture, healthcare, food, cosmetics, pharmaceuticals, household products, clothing industry, etc. These chemicals find their way to reach the aquatic ecosystem (directly/indirectly) and cause severe chronic and prolonged toxic effects to aquatic species which is also then translated to human beings. Prolonged and chronic toxicity data of many chemicals that are used daily is not available due to high experimentation testing costs, time investment, and the requirement of a large number of animal sacrifices. Thus, in silico approaches (e.g., QSAR (quantitative structure-activity relationship)) are the best alternative for chronic and prolonged toxicity predictions. The present work offers multi-endpoint (five endpoints: chronic_LOEC, prolonged_14D_LC50, prolonged_14D_NOEC, prolonged_21D_LC50, prolonged_21D_NOEC) QSAR models for addressing the prolonged and chronic aquatic toxicity of chemicals toward fish (O. latipes). The statistical results ( =0.738–0.869, =0.712–0.831, =0.618–0.731) of the developed models show that they were robust, reliable, reproducible, accurate, and predictive. Some of the features that are responsible for prolonged and chronic toxicity of chemicals towards O. latipes are as follows: the presence of substituted benzene, hydrophobicity, unsaturation, electronegativity, the presence of long-chain fragments, the presence of a greater number of atoms at conjugation, and the presence of halogen atoms. On the other hand, hydrophilicity and graph density descriptors retard the aquatic chronic and prolonged toxicity of chemicals toward O. latipes. The PPDB (pesticide properties database) and experimental and investigational classes of drugs from the DrugBank database were also screened using the developed model. Thus, these multi-endpoint models will be helpful for data-gap filling and provide a broad range of applicability. Therefore, this research will aid in the in silico QSAR (quantitative structure-activity relationship) prediction (non-animal testing) of the prolonged and chronic toxicity of untested and new toxic chemicals/drugs/pesticides, design and development of eco-friendly, novel, and safer chemicals, and help to protect the aquatic ecosystem from exposure to toxic and hazardous chemicals.
期刊介绍:
Aquatic Toxicology publishes significant contributions that increase the understanding of the impact of harmful substances (including natural and synthetic chemicals) on aquatic organisms and ecosystems.
Aquatic Toxicology considers both laboratory and field studies with a focus on marine/ freshwater environments. We strive to attract high quality original scientific papers, critical reviews and expert opinion papers in the following areas: Effects of harmful substances on molecular, cellular, sub-organismal, organismal, population, community, and ecosystem level; Toxic Mechanisms; Genetic disturbances, transgenerational effects, behavioral and adaptive responses; Impacts of harmful substances on structure, function of and services provided by aquatic ecosystems; Mixture toxicity assessment; Statistical approaches to predict exposure to and hazards of contaminants
The journal also considers manuscripts in other areas, such as the development of innovative concepts, approaches, and methodologies, which promote the wider application of toxicological datasets to the protection of aquatic environments and inform ecological risk assessments and decision making by relevant authorities.