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Updated: May 25, 2026

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多尺度信息嵌入式通用毒性预测框架

Lianlian Wu1,2, Fanmeng Wang3,4,5, Yixin Zhang2

  • 1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.

Environmental science & technology
|September 25, 2025
PubMed
概括

ToxScan是一种新的深度学习模型,通过分析3D结构和多个终点,准确地预测化学毒性. 这一框架改善了对罕见毒性和环境污染物的预测.

关键词:
深度学习是一种深度学习.环境污染物环境污染物毒性预测 毒性预测变压器的变压器是一个变压器.

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Toxicity Testing in Animals01:23

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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...