Machine Learning-Based Analysis Reveals Triterpene Saponins and Their Aglycones in <i>Cimicifuga racemosa</i> as Critical Mediators of AMPK Activation

Machine Learning-Based Analysis Reveals Triterpene Saponins and Their Aglycones in <i>Cimicifuga racemosa</i> as Critical Mediators of AMPK Activation

<i>Cimicifuga racemosa</i> (CR) extracts contain diverse constituents such as saponins. These saponins, which act as a defense against herbivores and pathogens also show promise in treating human conditions such as heart failure, pain, hypercholesterolemia, cancer, and inflammation. Some...

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Bibliographic Details
Main Authors: Jürgen Drewe, Verena Schöning, Ombeline Danton, Alexander Schenk, Georg Boonen
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Pharmaceutics
Subjects:
AMPK activator
logistic regression classification
deep neural networks
machine learning
<i>Cimicifuga racemosa</i>
triterpene saponins
Online Access:https://www.mdpi.com/1999-4923/16/4/511

Internet

https://www.mdpi.com/1999-4923/16/4/511

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