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Identifying the cold and hot properties of medicinal herbs based on the associated target proteins by pattern recognition technology

机译:通过模式识别技术确定基于相关靶蛋白的药草的冷热性质

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摘要

This study is aiming to develop a novel pattern recognition approach for identifying the cold and hot properties of Chinese medicinal herbs. All associated target proteins in the herbs with different properties were obtained from PubChem and other public databases, and the pattern recognition algorithms were used to analyze the proteins coupled with pathway analysis with IPA software. A small-scale data was adopted to test the reliability and feasibility of the algorithms.
机译:本研究旨在开发一种新的模式识别方法,用于鉴定中药草药的寒冷和热性质。从Pubchem和其他公共数据库获得了具有不同性质的草药中的所有相关靶蛋白,并且使用图案识别算法分析与IPA软件的途径分析偶联的蛋白质。采用小规模数据来测试算法的可靠性和可行性。

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