title: [BP model for relation between anti-aging and four natures, five flavors and meridian tropism of Chinese prescription medicine].
abstract: OBJECTIVE
  To establish a scientific, rapid anti-aging prediction model.
  
  
  METHODS
  According to the institutional principle of Chinese prescription medicine and by using the theory and method of artificial neural network, a BP model was built up to cope with the relation between anti-aging and four natures, five flavors as well as meridian tropism of Chinese medicinal herbs.
  
  
  RESULTS
  The accuracy that the model predicted the prescription's anti-aging index of superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-PX) was 93. 33%.
  
  
  CONCLUSIONS
  The model can predict the efficacy of anti-aging prescription very well.
authors: Guangdong Provincial Key lab of Biotechnology for Plant development, South China Normal University, Guangzhou 510631, China. maiqipeng@163.com
authors: Qipeng
authors: Q
authors: Mai
authors: Xu'e
authors: X
authors: Li
authors: Yanhua
authors: Y
authors: Wu
authors: Cheng
authors: C
authors: Zhou
mesh_terms: D000375:Aging / Q000187:drug effects* / Q000378:metabolism; D005979:Glutathione Peroxidase / Q000378:metabolism; D008315:Malondialdehyde / Q000378:metabolism; D008516:Medicine, Chinese Traditional / Q000379:methods*; D016571:Neural Networks, Computer; D055553:Prescription Drugs / Q000494:pharmacology*; D013482:Superoxide Dismutase / Q000378:metabolism
chemical_list: D055553:Prescription Drugs; D008315:Malondialdehyde; D005979:Glutathione Peroxidase; D013482:Superoxide Dismutase