目前已公开的蛋白质网络多为静态网络，不能有效描述细胞中蛋白质的动态活动特点。通过融合基因表达数据，研究人员可以构建出描述蛋白质动态性的时序蛋白质网络。现有方法假设所有蛋白质都是动态变化的，而事实上除动态蛋白质外细胞中还包含相对稳定的静态蛋白质。为此，提出了一种基于动态－静态蛋白质混合的时序网络构建新方法。该方法根据基因表达变化情况将蛋白质分为动态和静态两类，并在构建各时刻网络时考虑动态与静态蛋白质之间的相互作用关系。实验结果表明，利用本文方法构建的时序蛋白质网络可以提高蛋白质复合体识别的准确性，从而验证了本文方法的可行性。%Public available protein networks at present are static, which could not be used to describe the dynamic characteristics of proteins in a cell effectively. It is necessary to construct temporal protein network by integrating other biological data, which reflects the dynamic activities of proteins. Most of previous methods assume that all proteins are dynamic. However, in addition to dynamic protein, there are many static proteins in the cell. To this end, this paper proposes a new method to construct a temporal protein network both with dynamic and static proteins. In the method, proteins are classified into two types of dynamic and static, and then a protein network is constructed on each time point by both considering the interactions of dynamic and static proteins. Experimental test results show that the temporal protein network constructed by using the proposed method can improve the accuracy of the identification of protein complexes, which verified the reliability of the proposed method.
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