Prediction of midbody, centrosome and kinetochore proteins based on gene ontology information

被引:34
作者
Chen, Wei [1 ]
Lin, Hao [2 ]
机构
[1] N China Coal Med Univ, Sch Basic Med Sci, Dept Phys, Tangshan 063000, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu 610054, Peoples R China
关键词
Microkit proteins; Support vector machine; Gene Ontology; Localization; AMINO-ACID-COMPOSITION; SUPPORT VECTOR MACHINES; SUBCELLULAR LOCATION; FUNCTIONAL DOMAIN; WEB SERVER; LOCALIZATION; ARCHITECTURE; FAMILY;
D O I
10.1016/j.bbrc.2010.09.061
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In the process of cell division, a great deal of proteins is assembled into three distinct organelles, namely midbody, centrosome and kinetochore. Knowing the localization of microkit (midbody, centrosome and kinetochore) proteins will facilitate drug target discovery and provide novel insights into understanding their functions. In this study, a support vector machine (SVM) model, MicekiPred, was presented to predict the localization of microkit proteins based on gene ontology (GO) information. A total accuracy of 77.51% was achieved using the jackknife cross-validation. This result shows that the model will be an effective complementary tool for future experimental study. The prediction model and dataset used in this article can be freely downloaded from http://cobi.uestc.edu.cn/people/hlin/tools/MicekiPred/. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:382 / 384
页数:3
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