DocumentCode
606052
Title
Identifying the cold and hot properties of medicinal herbs based on the associated target proteins by pattern recognition technology
Author
Haibo Gao ; Jianxin Cui ; Yao Gao ; Fei Liang ; Junping Zhan ; Li Li ; Guang Zheng ; Cheng Lu ; Aiping Lu ; Miao Jiang ; Yingying Wang ; Jinsheng Yang
Author_Institution
Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
fYear
2012
fDate
23-25 Oct. 2012
Firstpage
749
Lastpage
754
Abstract
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.
Keywords
biology computing; pattern recognition; proteins; Chinese medicinal herbs; IPA software; PubChem; associated target proteins; cold properties; hot properties; pathway analysis; pattern recognition technology; public databases; Chinese herbal medicine/CHM; cold property; hot property; pattern recognition; target proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location
Taipei
Print_ISBN
978-1-4673-0876-2
Type
conf
Filename
6528732
Link To Document