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Updated: Aug 17, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
Published on: March 14, 2019
[A system for predicting the acute toxicity of chemical substances]
Abstract:
A method has been proposed to recognize and predict the range values of acute toxicity (LD50) and for this a system has been developed. The essence of the method is to gradually decrease the predictable toxicity ranges for the test substances in a stepwise manner while advancing within the formed predictive complexes. The transmission of information on the structure of compounds along this complex is determined by the preset logistic scheme along which narrower LD50 ranges are designated. The intervals are automatically set, by optimizing the recognition of the properties of compounds at the stage of formation of models (that recognize the set of signs). The predicting system includes two predicting complexes and contains a total of 30 mathematical models: for heterocyclic and carbocyclic compounds. Logistic schemes for passage of predictable compounds have been developed for each complex in accordance with the hierarchic organization of the elements that are constituents of the complex. The prediction significance is 70-90%.
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