[Simulation study of anti-hypoxia active fraction of Xiangdan injection by support vector machine].
OBJECTIVE
To investigate the anti-hypoxia active fraction of Xiangdan injection.


METHODS
The anti-hypoxia experiment under normal pressure with mice was adopted on the basis of orthogonal design, and a support vector machine model was established for pharmacodynamics prediction of TCM prescriptions. Moreover, the anti-hypoxia active fraction of Xiangdan injection was determined by experimental confirmation.


RESULTS
The prediction model established in this study could predict the drug actions of different formulas.


CONCLUSIONS
As indicated in model prediction and experimental confirmation, the pharmacodynamic actions of several formulas are superior to that of the original formula, and ADE has the best effect.
Chen
Chao
C
School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Tang
Chun-Ping
CP
Shen
Zhi-Bin
ZB
Yang
Chao-Yan
CY
Yin
Yong-Qin
YQ
Sun
Yue
Y
D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D004338:Drug Combinations; D015195:Drug Design; D004347:Drug Interactions; D004365:Drugs, Chinese Herbal / Q000008:administration & dosage / Q000737:chemistry* / Q000494:pharmacology*; D005260:Female; D000860:Hypoxia / Q000188:drug therapy* / Q000401:mortality; D007274:Injections, Intraperitoneal; D008297:Male; D051379:Mice; D011897:Random Allocation; D027821:Rutaceae / Q000737:chemistry; D027561:Salvia miltiorrhiza / Q000737:chemistry; D012997:Solvents / Q000737:chemistry
D004338:Drug Combinations; D004365:Drugs, Chinese Herbal; D012997:Solvents; C548756:xiangdan