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细胞信号网络稳定性的计算机仿真分析 被引量:1

Computer Simulation of the Stability of Cellular Signaling Networks
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摘要 许多疾病的发生、发展与细胞内信号转导密切相关,众多的信号转导途径之间因交互作用和交叉调节而形成了庞大复杂的信号网络,研究这一网络的结构属性、内在组织机制以及信号转导整合的特征,对于认识和理解系统复杂性、生物自适应以及疾病的发病机制,设计与开发新型治疗药物都具有重要的意义。该文根据构建的信号网络模型,采用计算机仿真技术对细胞信号网络对外界攻击的承受能力进行了动力学模拟,仿真结果表明该网络对不同类型的节点所受攻击的承受能力不同。 The occurrence and development of many diseases are closely related with intracellular signaling transduction. The cross - talk and cross - regulation among these signaling transduction pathways result in giant and complex signaling networks. The analysis of topological structure properties, self- organization mechanisms, and the signal transduction properties of integration of signaling networks could contribute to the understanding the complexity of systems, the self- adaptability of biology, the mechanisms of the occurrence of diseases. This also can promote the design and development of novel medicine. Based on the constructed signal network model, this paper adopts computer simulation to investigate the resistance of cellular signaling networks against outside attacks. The results of simulation indicate that various nodes of signaling networks have different resistance against the attacks.
出处 《计算机仿真》 CSCD 2006年第3期270-274,共5页 Computer Simulation
基金 国家自然科学基金(70071040) 泸州医学院重点科研基金资助
关键词 细胞信号转导 复杂性 数学模型 计算机仿真 Cellular signaling networks Complexity Mathematic model Computer simulation
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  • 1Harvey M Deitel Paul J Deitel.C++大学教程[M].北京:电子工业出版社,2001..
  • 2M. A. Gijon and C. C. Leslie, Regulation of arachidonic acid release and cytosolic phospholipase A2 activation, J. Leukoc. Biol., 1999, 65(3): 330-336.
  • 3M. Rozakis-Adcock, P. van der Geer, G. Mbamalu and T. Pawson, MAP kinase phosphorylation of mSosl promotes dissociation of mSosl-Shc and mSosl-EGF receptor complexes, Oncogene, 1995,11(7): 1417-1426.
  • 4L. Buday, P. H. Warne and J. Downward, Down regulation of the Ras activation pathway by MAP kinase phosphorylation of Sos, Oncogene, 1995, 11(7): 1327-1331.
  • 5E. Porfiri and R McCormick, Regulation of epidermal growth factor receptor signaling by phosphorylation of the ras exchange factor hSos, J. Biol. Chem., 1996, 271(10): 5871-5877.
  • 6P. Mendes, GEPASI: a software package for modeling the dynamics, steady states and control of biochemical other systems, Comput. Appl. Biosci., 1993, (9): 563.
  • 7Y. Tian, R. D. Smith, T. Balla and K. J. Catt, Angiotensin Ⅱ activates mitogen-activated protein kinase via protein kinase C and Ras/Raf-1 kinase in bovine adrenal glomerulosa cells, Proc. Natl.Acad. Sci., USA, 1998, 139(4): 1801-1809.
  • 8P. Peraldi, M. Frodin, J. V. Barnier, V. Calleja, J. C. Scimeca, C. Filloux, G. Calothy and E. Van Obberghen, Regulation of the MAP kinase cascade in PC12 cells:B-Raf activates MEK-1 (MAP kinase or ERK kinase) and is inhibited by cAMP, FEBS, Lett., 1995, 357(3): 290-296.
  • 9J. Rooij, F. J. Zwartkruis, M. H. Verheijen, R. H. Cool, S. M. Nijman, AI Wittinghofer and J. I.Bos, Epac is a Rapl guanine-nucleotide-exchange factor directly activated by cyclic AMP, Nature,1998, 396(6710): 474-477.
  • 10T. Ohtsuka, K. Shimizu, B. Yamamori, S. Kuroda and Y. Takai, Activation of brain B-Raf protein kinase by RaplB small GTP-binding protein, J. Biol. Chem., 1996, 271(3): 1258-1261.

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  • 1Gepasi. Gepasi: A Tool for Research[ EB/OL]. http:// www. gepasi. org/gep3res, html, 2002-02-05.
  • 2Reijenga K A,et al. Control analysis for autonomously oscillating biochemical networks [ J ]. Biophysical Journal, 2002, 82(1) :99-108.
  • 3Mendes P. Biochemistry by numbers: Simulation of biochemical pathways with Gepasi 3 [J]. Trends Biochem. Sci. 1997, 22(9) :361-363.
  • 4Stanley B Lippman,et al.C++ Primer(中文版)[M].北京:人民邮电出版社,2008.
  • 5Gepasi. Gepasi [EB/OL]. http ://www. gepasi. org, 2004- 07 -30.
  • 6北大生物信息中心[EB/OL].http://www.cbi.pku.edu.cn/chinese/documents/softdoc/else.html,2008-0601.
  • 7Andrew Koenig, Barbara E Moo. Accelerated C + +中文版[M].北京:中国电力出版社,2003.
  • 8柯林斯.数据结构与STL[M].北京:机械工业出版社,2004.
  • 9周志远,李洪.细胞信号转导系统的结构分析模式与算法[J].泸州医学院学报,2003,26(6):482-485. 被引量:1
  • 10周志远,李洪,代荣阳,罗波.细胞复杂信号转导模拟系统的设计与实现[J].计算机应用研究,2004,21(3):94-95. 被引量:5

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