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

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.