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Updated: Jul 22, 2025

The Lambda Select cII Mutation Detection System
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多实例学习改善了Ames对有问题的分子物种的突变性预测

Samuel V Feeney1, Raymond Lui1, Davy Guan1

  • 1Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.

Chemical research in toxicology
|July 21, 2023
PubMed
概括

多重实例学习 (MIL) 能够有效地预测艾姆斯的突变性,即使对于需要代谢激活的复杂分子. 这种方法有望改善药物开发和化学安全中的毒理学评估.

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