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Updated: Jul 23, 2025

High-Throughput Cardiotoxicity Screening Using Mature Human Induced Pluripotent Stem Cell-Derived Cardiomyocyte Monolayers
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基于网络的机器学习方法对药物-hERG通道相互作用的预测提出了挑战

Aziza El Harchi1, Jules C Hancox1

  • 1School of Physiology and Pharmacology and Neuroscience, Biomedical Sciences Building, The University of Bristol, University Walk, Bristol BS8 1TD, UK.

Journal of pharmacological and toxicological methods
|July 19, 2023
PubMed
概括

机器学习模型预测hERG通道抑制,这对药物安全至关重要. 然而,这些模型与hERG激动因子作斗争,可能错过了QT缩短风险. 需要进一步的发展,以在预测中包括激烈性.

关键词:
药物诱导的短QT综合征药物查是指对药物进行查.机器学习方法 机器学习方法在QSAR建模中使用QSAR模型.这种药物是hERG激动剂的激动剂.赫尔格的药理学是如此.希尔格的药物学家.

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