共调控共互作蛋白结构域的特征研究  

Research on domain features combinate of co-regulation and co-interaction.

作　　者：刘永宾[1] 高磊[1] 李冬果[1] 李霞[1,2] 

机构地区：[1]首都医科大学生物医学工程学院,北京100069 [2]哈尔滨医科大学生物信息科学与技术学院,哈尔滨150081

出　　处：《中国优生与遗传杂志》2010年第3期18-21,共4页Chinese Journal of Birth Health & Heredity

基　　金：国家自然基金(批准号:30871394;30370798;30571034);国家863项目(批准号:2007AA02Z329);黑龙江科技攻关项目(批准号:ZJG0501;1055HG009;GB03C602-4;BMFH060044)

摘　　要：目的研究在共调控蛋白、共互作蛋白、及同时存在共调控与共互作关系的蛋白中所包含结构域的分布特征。方法利用转录调控数据、蛋白互作数据和蛋白结构域数据,以聚集系数为测度,研究结构域在共调控集合、共互作集合以及共调控且共互作的集合中的聚集特征,并通过随机实验验证聚集特征的显著性。结果共调控集合、共互作集合以及共调控且共互作集合的聚集系数显著较高,具有显著性(P<0.01)。结论研究表明,共调控集合、共互作集合、共调控且共互作集合更倾向于含有相同的结构域。Objective： Reserch on the distributing features of domains which are included in the proteins set, the proteins set are co - regulate, co - interaction or co - regulate and co - interaction. Methods： The characteristics of domain in co - regulation protein set, co - interaction protein set and co - regulation ＆ co - interacton protein set are evaluated by aggregation factor, and verify significant of the aggregation factor through random experiment. Results ： Aggregation factors are significance （ P 〈 0. 01 ） in the co - regulation dataset, co - interaction dataset and co - regulation ＆ co - interacton dataset, that is to say aggregation properties in these dataset are more evident. Conclusion ： Research continues to show co - regulation dataset, co - interaction dataset and co - regulation ＆ co - interaction dataset are more likely to have the same domain.

关 键 词：共调控 共互作 结构域特征 聚集系数 

分 类 号：R341[医药卫生—基础医学]