[基于支持向量机的脑得生抗血栓活性部位模拟研究]
[Simulation study of antithrombotic active fraction of Naodesheng by support vector machine].
作者信息
Li Shu-xian, Chen Chao, Wang Shu-mei, Deng Xiao-hui, Liang Sheng-wang
机构信息
School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China.
出版信息
Zhong Yao Cai. 2011 Jul;34(7):1078-80.
OBJECTIVE
To screen the antithrombotic active fraction of Naodesheng.
METHODS
The collagen and adrenaline-induced thrombosis by tail intravenous injection in mice was used. Based on orthogonal design, the support vector machine model was established for pharmacodynamics prediction of TCM prescriptions.
RESULTS
The model established in this study could predict the drug actions of different combinations.
CONCLUSION
The pharmacodynamic actions of several formulas are superior to that of the original formula and CD has the best effect.
目的
筛选脑得生的抗血栓活性部位。
方法
采用小鼠尾静脉注射胶原和肾上腺素诱导血栓形成的方法。基于正交设计，建立支持向量机模型用于中药方剂的药效学预测。
结果
本研究建立的模型能够预测不同组合的药物作用。
结论
几个方剂的药效学作用优于原方，其中CD效果最佳。
Zotero 插件