蛋白质相互作用预测算法在帕金森病中的应用  

Application of protein-protein interaction prediction algorithm in study of Parkinson's disease

作　　者：吴继宗[1,2] 宋安平[1] 张武[1] 李辉[1,2] 

机构地区：[1]上海大学计算机工程与科学学院,上海200072 [2]上海大学系统生物研究所,上海200436

出　　处：《计算机工程与设计》2008年第20期5301-5304,5307,共5页Computer Engineering and Design

基　　金：上海市重点学科建设基金项目(J50103)

摘　　要：对蛋白质相互作用的研究不仅能够理解生命的过程,也能为疾病治疗提供线索。通过对现有蛋白质相互作用预测计算方法的分析,将计算方法和生命科学相结合,在利用现有的知名生物数据库获得大量蛋白质相互作用关系数据的基础上,建立人类蛋白质相互作用网络,通过计算来预测可能导致帕金森病的蛋白质。在总结前人算法的基础上,利用改进的APM[1]算法,实现了对蛋白质一级网络以及二级网络的预测工作。The better understanding ofprotein-protein interactions is crucial for the life process, and providing clues to disease treatment. By analyzing the current protein-protein prediction methods, combined the computational method and life science. Based on a large number of protein-protein interaction data from well-known database, and then human protein-protein interaction networks is constructed. The aim is tried to find proteins which are related to the cause of Parkinson＇s disease by computational methods. Based on some predication algorithm and by using improved APM algorithm, predicate 1-class network and 2-class network of alpha-synuclein are implemented.

关 键 词：帕金森病 致病蛋白 计算方法 蛋白质相互作用网络 预测算法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]