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 :
بازگشت