title: [Simulation study of anti-hypoxia active fraction of Xiangdan injection by support vector machine].
abstract: 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.
authors: School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China.
authors: Chao
authors: C
authors: Chen
authors: Chun-Ping
authors: CP
authors: Tang
authors: Zhi-Bin
authors: ZB
authors: Shen
authors: Chao-Yan
authors: CY
authors: Yang
authors: Yong-Qin
authors: YQ
authors: Yin
authors: Yue
authors: Y
authors: Sun
mesh_terms: 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
chemical_list: D004338:Drug Combinations; D004365:Drugs, Chinese Herbal; D012997:Solvents; C548756:xiangdan