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预测肌酸激酶相关因子的计算模拟:脑型和肌型肌酸激酶的蛋白质-蛋白质相互作用研究

Computational simulations to predict creatine kinase-associated factors: protein-protein interaction studies of brain and muscle types of creatine kinases.

作者信息

Hu Wei-Jiang, Zhou Sheng-Mei, Yang Joshua Sungwoo, Meng Fan-Guo

机构信息

Zhejiang Provincial Key Laboratory of Applied Enzymology, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.

出版信息

Enzyme Res. 2011;2011:328249. doi: 10.4061/2011/328249. Epub 2011 Aug 3.

Abstract

Creatine kinase (CK; EC 2.7.3.2) is related to several skin diseases such as psoriasis and dermatomyositis. CK is important in skin energy homeostasis because it catalyzes the reversible transfer of a phosphoryl group from MgATP to creatine. In this study, we predicted CK binding proteins via the use of bioinformatic tools such as protein-protein interaction (PPI) mappings and suggest the putative hub proteins for CK interactions. We obtained 123 proteins for brain type CK and 85 proteins for muscle type CK in the interaction networks. Among them, several hub proteins such as NFKB1, FHL2, MYOC, and ASB9 were predicted. Determination of the binding factors of CK can further promote our understanding of the roles of CK in physiological conditions.

摘要

肌酸激酶(CK;EC 2.7.3.2)与多种皮肤疾病相关,如银屑病和皮肌炎。CK在皮肤能量稳态中很重要,因为它催化磷酸基团从MgATP可逆地转移到肌酸。在本研究中,我们通过使用蛋白质-蛋白质相互作用(PPI)映射等生物信息学工具预测了CK结合蛋白,并提出了CK相互作用的假定枢纽蛋白。在相互作用网络中,我们获得了123种脑型CK蛋白和85种肌型CK蛋白。其中,预测了几种枢纽蛋白,如NFKB1、FHL2、MYOC和ASB9。确定CK的结合因子可以进一步促进我们对CK在生理条件下作用的理解。

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