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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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益米达衍生物的抗菌活性分类由人工神经网络预测

Andżelika Lorenc1, Anna Badura2, Maciej Karolak3

  • 1Department of Biopharmacy, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, dr A. Jurasza 2, 85-089, Bydgoszcz, Poland. andzelika.lorenc@cm.umk.pl.

Pharmaceutical research
|April 17, 2024
PubMed
概括

这项研究使用多层感知器 (MLP) 神经网络成功预测了新型伊米达化物对克莱布西拉肺炎的抗菌活性. 机器学习技术,如分类和回归树 (CART) 和主要组件分析 (PCA) 增强了合成前的预测准确性.

关键词:
克莱布塞拉肺炎是一种肺炎.人工神经网络的人工神经网络这是分类分类的分类.伊米达佐的衍生物主要组件分析的主要组件分析

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