人工代谢系统综述

Overview of artificial metabolic system

从生物体新陈代谢规律出发,通过分析催化酶与各类代谢调节模式的关系建立起人工代谢系统模型。该系统能实现模式识别、故障诊断、多目标优化等功能。利用新陈代谢机理建立人工代谢方程。通过对平衡因子、抑制因子等代谢算子的调节来改变代谢物浓度,提高代谢率,从而实现新陈代谢网络的物质流量均衡和网络节点通畅,达到有效地实现各类功能优化的目的。对人工代谢系统的基础理论和典型应用进行了阐述,指出了进一步研究的方向。

Artificial metabolic system model was built by analysis for relationship between enzymes and every regulation pattern from the view of biological metabolism law. Many functions such as pattern recognition, fault diagnosis and multi-objective optimization could be realized by the system. An artificial metabolic equation was built according to metabolism mechanism. The substance concentration could be regulated by metabolic operators such as equilibrium factor and the inhibior factor. The metabolic rate could be improved. The substance concentration in metabolic network was balance and traffic flows in every net-work node was unobstructed by regulating these metabolic operators including equilibrium factor and the inhibior factor. Many kinds of optimal application could be realized through the regulating methods. This paper presented the summary for basic theory and typical application of artificial metabolic system, and also provided the directions for further study.