Investigation of Intelligent Network Topology by Mimicking the Fault-tolerant Network Structure of Metabolic Pathways

通过模仿代谢途径的容错网络结构来研究智能网络拓扑

• 批准号: 10555128
• 负责人: OKAMOTO Masahiro
• 金额: $ 8.13万
• 依托单位: Kyushu Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B).
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-10555128/
• 关键词: network topology; development of functional device; fault-tolerant; metabolic pathway; traffic control of telecommunication; simulator capture

In spite of taking the continuous perturbations, metabolic pathways can keep the homeostatic capability of biochemical information. They may be fault-tolerant against external perturbations and take multi-compensating structure. By mimicking these features as for the network topology of metabolic pathways, we can propose the intelligent fault-tolerant network topology of telecommunications. We have implemented an efficient, user-friendly "biosimulator" named BEST-KIT (Biochemical Engineering System analyzing Tool-KIT) for analyzing a large scaled nonlinear reaction network such as metabolic pathways. The BEST-KIT mainly consists of two kinds of modules, "MassAction" and "EnzymeKinetics". In this study, we have developed new module, "MassAction++", which can construct and analyze reaction scheme represented by both mass action law (mass balance) and approximated velocity functions of enzyme kinetics at steady state. All modules in BEST-KIT are developed in Java applet style, and can be carried out on the "any" platform machine through the web browser. The "MassAction++" was developed by Java applet style and can save data related on the constructed reaction scheme and time course data on the client disk space and can load it to the web browser.

代谢途径在不断受到干扰的情况下，仍能保持生化信息的自稳态能力。它们可以对外部扰动具有容错性，并可以采用多重补偿结构。通过模仿这些功能的网络拓扑结构的代谢途径，我们可以提出智能容错网络拓扑结构的电信。我们已经实现了一个高效的，用户友好的“生物模拟器”命名为BEST-KIT（生化工程系统分析工具-KIT）分析大规模的非线性反应网络，如代谢途径。BEST-KIT主要由“MassAction”和“EnzymeKinetics”两种模块组成。在这项研究中，我们已经开发了新的模块，“MassAction++”，它可以构建和分析反应计划表示的质量作用定律（质量平衡）和近似速度函数的酶动力学在稳态。BEST-KIT中的所有模块都是以Java applet风格开发的，并且可以通过Web浏览器在“任何”平台的机器上执行。“MassAction++”是用Java applet风格开发的，可以将与构建的反应方案相关的数据和时间过程数据保存在客户端磁盘空间上，并可以将其加载到Web浏览器。

项目成果

D.Tominaga et.al.: "Nonlinear numerical optimization technique based on genetic algorithm for inverse problems"Proc.of the German Conference on Bioinformatics (GCB'99). 1. 127-140 (1999)

D.Tominaga 等人：“基于逆问题遗传算法的非线性数值优化技术”德国生物信息学会议论文集 (GCB99)。

M.Okamoto et al.: "Biochemical Neuron:Hardware implementation of functional devices by mimicking The natural intelligence such as metabolic control systems" Intl.J.Computers and Electric Engng.in press. (1999)

M.Okamoto 等人：“生化神经元：通过模仿代谢控制系统等自然智能来实现功能设备的硬件”Intl.J.Computers and Electric Engng.in press。

Kenji Sakuraba, Jun-ichi Ueno, Masakazu Mori, Kouji Tanaka, Jun Yoshimura, Masahiro Okamoto: "BEST-KIT : Development of Biochemical Engineering System Analyzing Tool-KIT."Proc.of the 1^<th>.Intl.Conf.on System Biology (ICSB2000). 124-129 (2000)

Kenji Sakuraba、Jun-ichi Ueno、Masakazu Mori、Kouji Tanaka、Jun Yoshimura、Masahiro Okamoto：“BEST-KIT：生化工程系统分析工具-KIT 的开发。”Proc.of the 1^<th>.Intl.Conf。

K.Sakuraba et al.: "BEST-KIT : Development of Biochemical Engineering System Analyzing Tool-Kit"Proceedings of 1^<st>. Intl.Conf.on System Biology (ICSB2000). 124-129 (2000)

K.Sakuraba 等人：“BEST-KIT：生化工程系统分析工具包的开发”1^<st>论文集。

Yoshitaka Isobe, Tetsuji Nishizono, Jun Yoshimura, Kenji Sakurabe, Masahiro Okamoto: "Development of Web-based Simulation System for Real-time Optimal Control in Bio-process System."Proc.of the 28^<th>.SICE Symp. on Intelligent Systems. (in Japanese). 63-

Yoshitaka Isobe、Tetsuji Nishizono、Jun Yoshimura、Kenji Sakurabe、Masahiro Okamoto：“开发基于网络的生物过程系统实时优化控制仿真系统。”Proc.of the 28^<th>.SICE Symp。