蛋白質之間的交互作用在細胞內的結構上以及功能組織上扮演相當重要的角色,而對它們完整的描述是了解整個細胞所不可或缺的。然而蛋白質功能域與蛋白質功能域之間的交互作用對於研究、預測以及註解蛋白質與蛋白質間交互作用是很有幫助的。 本論文中應用了Han等人所提出的蛋白質功能域結合對(domain combination pair)的做法[1,2],從分析蛋白質與蛋白質交互作用資料庫DIP的資訊所推斷的蛋白質功能域與功能域間的交互作用,並延伸結果至七個物種(C.elegan, D. melanogaster, E. coli, H. pylori, H. sapiens, M. musculus and S. cerevisiae)。根據前面的基礎,本研究在此提出一個分析蛋白質調控的方法,試圖預測出蛋白質與蛋白質之間彼此的調控順序關係。我們的方法利用順序指標「ordering index」簡稱OI[7,8],結合統計上的顯著性檢定來分析預測蛋白質之間調控的資訊。使用順序指標「ordering index」透過蛋白質功能域相互作用的關聯,利用機率理論中條件機率的特性使得我們建立的模型具有預測表現蛋白質與蛋白質之間調控的能力。研究結果網頁位址如下: http://210.70.80.163/kzbio2/index.php。
Protein-protein interactions (PPIs) play pivotal roles in various aspects of the structural and functional organization of the cell, and their complete description is indispensable to thorough understanding of the cell. Currently, domain-domain interactions can be useful for validating, annotating, and predicting protein-protein interactions. In this study, we employ the domain combination pair approach, introduced by Han et. al [1,2] to derive putative protein domain-domain interactions from the protein-protein interaction database DIP. Domain annotation of each protein-protein interaction record in DIP is obtained from the protein domain database, Pfam.The results of putative domain-domain interaction by Han et al. was extended to seven species (C.elegan, D.melanogaster, E.coli, H.pylori, H.sapiens, M.musculus and S.cerevisiae). According to former basis, we offer an ordering method protein-portein interactions to predict the ordering relationship. We use an ordering index(OI) combined to analyze data[7,8], and we use the ordering index to predict the association of proteins through the dynamics of protein expression. All results are available at http://210.70.80.163/kzbio2/index.php