Identification Technique of Essential Nodes in Protein Networks Based on Combined Parameters
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摘要: 蛋白质的关键性与它在生物网络中对应节点的拓扑特性紧密相关. 把关键蛋白质识别看作是一类特殊的模式识别, 以分子之间量化的关系——拓扑参数作为识别依据: 从相关分析出发对蛋白质网络节点的关键性与其主要拓扑参数的相互关系进行研究, 发现参数对节点关键性识别能力的大小与两者之间的相关性有关; 研究复合参数识别度与独立参数识别度、独立参数相关性之间的关系, 提出复合参数的构造方法及异步识别算法. 仿真结果证实, 获得的识别度明显高于其他识别技术.Abstract: The essentiality of a protein is correlated with its topological properties in a bionetwork. Viewing the identification of essential proteins as a special kind of pattern recognition by setting up the quantification of the relationship of molecules --- topological parameter, this paper analyzes the correlation between a protein's essentiality and its main topological parameters, studies the nature of the essential-node-judgement of the parameters, puts forwards theoretically the relation between the identification degree of combined parameters and that of the single parameters involved and the correlation between single parameters, and gives effective construction methods of combined parameters and their asynchronous recognition algorithm. The results show that the identification ability of the technique is obviously greater than that of the others.
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Key words:
- Essential node /
- pattern recognition /
- combined parameter /
- topological structure /
- protein network
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