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Updated: Apr 12, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
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化学NTP:使用罗神经网络对环境化学品的神经毒性目标的高级预测

Lingjing Zhang1, Tingji Yao1, Jiaqi Luo1

  • 1State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China.

Environmental science & technology
|December 11, 2024
PubMed
概括

一个新的模型,ChemNTP,预测了环境化学神经毒性目标. 它确定了分子机制和结合点,有助于评估污染物对健康的风险.

关键词:
化学蛋白相互作用 化学蛋白相互作用深度学习是一种深度学习.环境化学品环境化学品神经毒性的作用.目标预测目标预测

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Toxicity Testing in Animals01:23

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
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