基于WEB的关键蛋白质预测平台  

A WEB-based platform for predicting essential proteins

作　　者：郑瑞清[1] 李敏[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《生物信息学》2014年第2期84-89,共6页Chinese Journal of Bioinformatics

基　　金：国家自然科学基金(No.61370024);教育部新世纪优秀人才支持计划(NCET-12-0547)资助

摘　　要：关键蛋白质是指那些在蛋白质相互作用网络中承担重要作用、移除后会使蛋白质复合物功能丧失并导致生物无法存活的节点。随着蛋白质数据库的不断完善和高通量技术的发展,使得通过计算方法的关键蛋白预测得到广泛应用。针对目前软件多为桌面应用程序、用户难以迅速适应的情况,本文设计并实现了一个基于WEB的关键蛋白质预测平台EssentialProtein Finder(EP Finder)。该平台集成了DC、BC、CC、EC、LAC、SC和NC7种关键蛋白质预测算法,还提供包含SN、SP、PPV、NPV、ACC、F和折刀曲线图在内的7种评估方法。平台对蛋白质网络图、算法运行及评估结果提供了可视化展示。该平台具有良好的扩展性。Essential proteins are those proteins playing an important role in the protein-protein interaction network,and removal of these proteins will result in a loss of protein complexes′ function and death of organism. Theimprovement of protein databases and the development of the high-throughput technology have made thecomputational methods be widely used in prediction of essential proteins. Because the current software is mostlydesktop applications, it is difficult to be adapted quickly. Therefore, this paper designs and implements an WEBbased protein prediction platform, Essential Protein Finder（EP Finder）. It not only integrates seven essentialprotein prediction algorithms likeDC,BC,CC,EC,LAC,SCandNC, but also provides seven evaluationmeasures, includingSN,ACC,PPV,SP,NPV,Fand a chart ofAUC. The Platform provides the visual display ofprotein-protein interaction network, results of algorithms and evaluations. This platform is very scalable as newalgorithms and layout methods can be added conveniently.

关 键 词：蛋白质网络 关键蛋白质 WEB平台 

分 类 号：Q753[生物学—分子生物学]