CAJ | 학술논문

蛋白激酶与磷酸酶是细胞信号转导途径中的最重要元素，最近出版了酵母的全局蛋白激酶与磷酸酶交互(KPI)网络。由于缺乏详尽的热力学参数，拓扑的(或结构的)分析方法被用于研究该网络，例如，度中心化指标被用于识别该网络中央的蛋白。但是，对真实世界的网络模型使用单一的中心化指标明显不合理，需要组合多种指标综合考虑。本文首先比较了14种不同的中心化指标，然后将它们应用于蛋白激酶与磷酸酶交互网络，最后确定了该网络的10个中央的蛋白并讨论了它们的生物学意义。
단백격매여린산매시세포신호전도도경중적최중요원소，최근출판료효모적전국단백격매여린산매교호(KPI)망락。유우결핍상진적열역학삼수，탁복적(혹결구적)분석방법피용우연구해망락，례여，도중심화지표피용우식별해망락중앙적단백。단시，대진실세계적망락모형사용단일적중심화지표명현불합리，수요조합다충지표종합고필。본문수선비교료14충불동적중심화지표，연후장타문응용우단백격매여린산매교호망락，최후학정료해망락적10개중앙적단백병토론료타문적생물학의의。
Protein kinases and phosphatases are the most important elements in cellular signal transduction pathways, a global protein kinase and phosphatase interaction (KPI) network in budding yeast is recently published. Due to the absence of detailed kinetic parameters, topological (or structural) analyses are used in the network, e.g. degree centrality is used to analysis of KPI network for the identification of the central proteins. However, it is clear that any single centrality measure in real-world networks is very limited, and multi-centrality measures should be combined for these networks. In the present paper, 14 different centrality measures are compared firstly, and then their application to the KPI network are analyzed,at last the top 10 central proteins in the network are identified, and their biological signification are discussed.