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生物网络的功能模块识别是当前生物信息学和系统生物研究领域的一个重要研究主题。首先介绍了模拟退火算法的基本原理,分析了聚集系数和模块性等与生物网络功能模块识别相关的一些基本概念,随后阐述了模拟退火算法在生物网络功能模块识别方面的应用。最后,通过新陈代谢网络和蛋白交互网络这2种具体生物网络的模块划分实例,证实了模拟退火算法在生物网络功能模块研究方面的高效性。
The identification of functional modules in biological networks is an important research subject in the field of bioinformatics and system biology. Firstly, the basic principle of simulated annealing algorithm is introduced. Some basic concepts related to the identification of functional modules of biological networks such as aggregation coefficient and modularity are analyzed. Then the application of simulated annealing algorithm in the identification of functional modules of biological network is illustrated. Finally, through the example of module division of two specific biological networks, the metabolic network and the protein interactive network, the efficiency of the simulated annealing algorithm in the research of functional modules of biological networks is confirmed.