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Updated: Jan 17, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
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通过网络毒理学分析和深度学习预测,环境生物毒素okadaic酸的毒性影响

Dongyao Wang1, Ying Zhang2, Yao Yang3

  • 1Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai 200433, China.

Aquatic toxicology (Amsterdam, Netherlands)
|September 23, 2025
PubMed
概括

网络毒理学和深度学习将AKT1确定为甲酸 (OA) 神经毒性的关键目标. 这种方法有助于理解OA诱导的大脑损伤,并为贝类中毒的治疗策略提供信息.

关键词:
深度学习预测的预测网络毒理学 网络毒理学奥卡迪酸是什么意思? 奥卡迪酸是什么意思毒素-标相互作用

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