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Development of QSARs for Predicting the Joint Effects between Cyanogenic Toxicants and Aldehydes

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inferredcites →https://doi.org/10.1515/9783110855425openalex-snapshot
Flavins and Flavoproteins 1990

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inferred← citeshttps://doi.org/10.1002/9783527628766.biblioopenalex-snapshot
Bibliography
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Atomic charges of individual reactive chemicals in binary mixtures determine their joint effects: An example of cyanogenic toxicants and aldehydes
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Existing and Developing Approaches for QSAR Analysis of Mixtures
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Application of the Similarity Parameter (λ) to Prediction of the Joint Effects of Nonequitoxic Mixtures
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Study on the variation rules of the joint effects for multicomponent mixtures containing cyanogenic toxicants and aldehydes based on the transition state theory
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Evaluation on joint toxicity of chlorinated anilines and cadmium to Photobacterium phosphoreum and QSAR analysis
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Where does the toxicity of metal oxide nanoparticles come from: The nanoparticles, the ions, or a combination of both?
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The underlying toxicological mechanism of chemical mixtures: A case study on mixture toxicity of cyanogenic toxicants and aldehydes to Photobacterium phosphoreum
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Structural AlertsA New Classification Model to Discriminate Excess Toxicity from Narcotic Effect Levels of Organic Compounds in the Acute Daphnid Assay
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An integrated QSAR–PBPK modelling approach for predicting the inhalation toxicokinetics of mixtures of volatile organic chemicals in the rat
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Research Progress on the Effects of Combined Exposure to Antibiotics and Heavy Metals on Antibiotic Resistance Genes
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QSAR models and their corresponding toxicity mechanism for mixture toxicity of organic pollutants
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Quantitative Structure Activity Relationships (QSAR) for Binary Mixtures at Non-Equitoxic Ratios Based on Toxic Ratios-Effects Curves
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An evaluation of the non-target effects of mosquito control pesticides on Uca pugnax physiology, limb regeneration and molting processes.
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