Network pharmacology study of the effective constituents in the Compound Yizhihao against influenza disease
10.16438/j.0513-4870.2016-1172
- VernacularTitle:复方一枝蒿抗流感有效成分的网络药理学研究
- Author:
Lü-jie XU
1
;
Wen JIANG
2
;
Xiao-cong PANG
1
;
De KANG
1
;
Wan-di XIONG
1
;
Rui LIU
1
;
Jian-guo XING
3
;
Ai-lin LIU
1
;
Guan-hua DU
1
Author Information
1. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
2. The Sixth Affiliated Hospital, Xinjiang Medical University, Urumchi 830002, China
3. The Xinjiang Institute of Materia Medica, Urumchi 830002, China
- Publication Type:ORIGINAL ARTICLES
- Keywords:
Compound Yizhihao;
influenza;
drug target;
Naïve Bayesian classification model;
molecular fingerprint;
molecule descriptor;
network pharmacology
- From:
Acta Pharmaceutica Sinica
2017;52(5):745-752
- CountryChina
- Language:Chinese
-
Abstract:
Compound Yizhihao, consists of Radix isatidis, Folium isatidis, Artemisia rupestris, has a significant therapeutic effect on the treatment of influenza and fever. However, the mechanism of its action is still unclear. In this investigation, we collected the key target molecule of influenza disease and the chemical constituents of Compound Yizhihao, and developed Naïve Bayesian classification models based on the input molecular fingerprints and molecule descriptors. The built models were further applied to construct classifiers for predicting the effective constituents. We used the professional network-building software to build the constituent-target network and target-pathway network, which revealed the network pharmacology of the effective constituents in Compound Yizhihao. It will contribute to the further research of mechanism of Compound Yizhihao.
