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Updated: Jun 6, 2025

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人工智能和机器学习模型用于预测小分子中药物诱导的损伤

Mohan Rao1, Vahid Nassiri2, Sanjay Srivastava1

  • 1Preclinical and Clinical Pharmacology and Chemistry, Neurocrine Biosciences, San Diego, CA 92130, USA.

Pharmaceuticals (Basel, Switzerland)
|November 27, 2024
PubMed
概括

这项研究开发了一种AI/ML模型,整合了药物特性和相互作用,以预测药物诱导的损伤 (DIKI). 该模型增强了早期识别具有较低DIKI风险的化合物,提高了药物安全性和开发效率.

关键词:
人工智能的人工智能是人工智能.化学信息学 化学信息学计算毒理学计算毒理学药物诱导的损伤导致损伤.机器学习是机器学习.目标之外的相互作用.

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