| abstract |
The invention discloses a method and application for rapidly discovering effective components of a traditional Chinese medicine compound. This method is a method for rapid and accurate discovery of effective components of traditional Chinese medicine compounds based on two-factor horizontal design-support vector machine (2-LFD-SVM). For the compatibility and combination of multiple factors, the corresponding pharmacological indicators are obtained through pharmacological experiments, and combined with the content data of the main components, the support vector machine algorithm (SVM) is used to achieve multiple pharmacodynamic goals and optimize the combination of each effective component, so as to optimize the extraction method and refine the extraction parts. , the purpose of purifying effective substances. As a key common technology for digital extraction of traditional Chinese medicine, this method can quickly discover the effective components of traditional Chinese medicine compounds, help to improve the speed of new drug development, and provide a demonstration for the discovery of effective components and new drug development based on traditional Chinese medicine compounds, and has good application prospects. |