留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于人工免疫网络的药代动力学参数优化方法

刘丽 周少丹 卢红文 谢芬 须文波

刘丽, 周少丹, 卢红文, 谢芬, 须文波. 基于人工免疫网络的药代动力学参数优化方法[J]. 应用数学和力学, 2008, 29(4): 496-504.
引用本文: 刘丽, 周少丹, 卢红文, 谢芬, 须文波. 基于人工免疫网络的药代动力学参数优化方法[J]. 应用数学和力学, 2008, 29(4): 496-504.
LIU Li, ZHOU Shao-dan, LU Hong-wen, XIE Fen, XU Wen-bo. Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network[J]. Applied Mathematics and Mechanics, 2008, 29(4): 496-504.
Citation: LIU Li, ZHOU Shao-dan, LU Hong-wen, XIE Fen, XU Wen-bo. Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network[J]. Applied Mathematics and Mechanics, 2008, 29(4): 496-504.

基于人工免疫网络的药代动力学参数优化方法

基金项目: 江苏省卫生厅基金资助项目(P200512)
详细信息
    作者简介:

    刘丽(1975- ),女,天津人,讲师,博士研究生(联系人.E-mail:liuli_sytu@hotmail.com);周少丹(1966- ),女,无锡人,主管药司;卢红文(1971- ),男,淮安人,主管药师;谢芬(1979- ),湖北天门人,药师;须文波(1946- ),男,无锡人,教授,博士生导师.

  • 中图分类号: TP273

Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network

  • 摘要: 提出了基于人工免疫网络优化药代动力学参数的PKAIN算法.新增的分组并发单纯形变异用以提高人工免疫网络的局部搜索能力.通过PKAIN人工免疫网络中网络细胞的进化得到给定药代动力学模型的一组优化参数.应用Laplace变换求解瑞芬太尼(remifentanil)及其代谢产物瑞芬太尼酸的联合代谢动力学模型的微分方程组,通过PKAIN算法优化导出房室模型参数A·D2实验表明,对伴有轻度肾损伤病人可以应用二室模型描述瑞芬太尼酸的药代动力学特征.
  • [1] 杨学敏,杨开宁,张凤玲.药物动力学临床实用指南[M].北京:军事医学科学出版社,2004,391-405.
    [2] 张继稳,裴小兵.残数法计算单室模型药物血管外多剂量给药的吸收和清除动力学参数[J].安徽医科大学学报,2004,39(1):34-36.
    [3] Jang J S R, Sun C T, Mizutai E.Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence[M].US Ed: Prentice Hall,1997,112-137.
    [4] Nelder A, Mead R.A simplex method for function optimization[J].Computation J,1965,7(12):308-313.
    [5] Jeffery C L, James A R, Margaret H W,et al.Convergence properties of the Nelder-Mead simplex method in low dimensions[J].Society for Industrial and Applied Mathematics,1998,9(1):112-147.
    [6] 刘利斌,张文,谢竹诚.基于改进单纯形算法的药物动力学参数计算[J].浙江科技学院学报,2007,19(1):4-6.
    [7] de Castro L N, Timmis J.Artificial immune systems as a novel soft computing paradigm[J].Soft Computing,2003,7(8):526-544. doi: 10.1007/s00500-002-0237-z
    [8] Chun J S, Hahn S Y. A study on comparison of optimization performances between immune algorithm and other heuristic algorithms[J].IEEE Transactions on Magnetics,1998,34(5):2972-2975. doi: 10.1109/20.717694
    [9] 谢开贵,曾晓晖,李春燕,等.免疫算法与其他随机优化算法的比较分析[J].重庆大学学报,2003,26(11):43-47.
    [10] Yuan S F, Chu F L.Fault diagnosis based on support vector machines with parameter optimization by artificial immunization algorithm[J].Mechanical System and Signal Processing,2007,21(3):1318-1330. doi: 10.1016/j.ymssp.2006.06.006
    [11] 马秀丽,刘芳,焦李成.基于免疫克隆算法的协同神经网络参数优化[J]. 红外与毫米波学报,2007,26(1):38-42.
    [12] 何宏,钱锋.基于免疫进化算法的PID参数整定[J].计算机应用,2002,27(5):1175-1176,1196.
    [13] de Castro L N,Timmis J.An artificial immune network for multimodal function optimization[A].In:Proceedings of IEEE Congress on Evolutionary Computation (CEC'02)[C].1.Honolulu:IEEE Service Center,2004,674-699.
    [14] de Franca F O, von Zuben F J, de Castro L N. An artificial immune network for multimodal function optimization on dynamic environments[A].In:Proc of the GECCO Conf[C].Washington DC:ACM Press,2005,289-296.
    [15] 王广基.药物代谢动力学[M].北京:化学工业出版社,2005,88-120.
    [16] 黄晓晖,谢海棠,孙瑞元.拉普拉斯变换及其在药代动力学中的应用[J].中国临床药理学与治疗学,2001,6(1):59-63.
    [17] Ada G L, Nossal G J V.The clonal selection theory[J].Scientific American,1987,257(2):50-57.
    [18] Jerne N K. Towards a network theory of the immune system[J].Annals of Immunology,Ser C,1974,125(1/2):373-389.
    [19] 黄晓晖,史军,李俊,等.药代动力学和药效动力学中数学建模与模拟的基本原理(2)[J].中国临床药理学与治疗学, 2007,12(3):334-341.
    [20] de Castro L N,von Zuben F J. Learning and optimization using the clonal selection principle[J].IEEE Trans on Evol Comp,2002,6(3):239-251. doi: 10.1109/TEVC.2002.1011539
    [21] Renders J, Bersini H. Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways[A].In:Proceedings of the First IEEE Conference on Evolutionary Computation[C].Orlando:IEEE Press,1994,312-317.
    [22] Yen J, Liao J,Randolph D,et al.A Hybrid approach to modeling metabolic systems using a genetic algorithms and the simplex method[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B,1998,28(2):173-191.
    [23] 余建军,孙树栋,王军强.单纯形免疫算法及其在高维非凸函数优化中的应用[J]. 机械科学与技术, 2007,26(3):296-303.
    [24] de Castro L N, von Zuben F J. aiNet: An artificial immune network for data analysis[A].In:Abbass H A,Saker R A, Newton C S,Eds.Data Mining: A Heuristic Approach[C].USA: Idea Group Publishing, 2001, 231-259.
    [25] Westmoreland C L,Hoke J F,Sebel P S,et al.Pharmacokinetics of remifentanil (GI87084B) and its major metabolite (GR90291) in patients undergoing elective surgery[J].Anesthesiology,1993,79(5):893-903. doi: 10.1097/00000542-199311000-00005
    [26] Pitsiu M, Wilmer A,Bodenham A,et al.Pharmacokinetics of remifentanil and its major metabolite, remifentanil acid, in ICU patients with renal impairment[J].British Journal of Naesthesia,2004,92(4):493-503. doi: 10.1093/bja/aeh086
  • 加载中
计量
  • 文章访问数:  2699
  • HTML全文浏览量:  111
  • PDF下载量:  664
  • 被引次数: 0
出版历程
  • 收稿日期:  2007-10-10
  • 修回日期:  2008-02-27
  • 刊出日期:  2008-04-15

目录

    /

    返回文章
    返回