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| 一种新的计算预测alpha-synuclein蛋白质相互作用网络的方法 | |
| 引用本文： | 谢江,张武,梅健,顾知立,吴继宗,李辉,张律文.一种新的计算预测alpha-synuclein蛋白质相互作用网络的方法[J].上海大学学报(英文版),2008,12(6):501-507. |
| 作者姓名： | 谢江 张武 梅健 顾知立 吴继宗 李辉 张律文 |
| 作者单位： | School of Computer Engineering and Science，Shanghai University，Institute of Systems Biology，Shanghai University |
| 基金项目： | National Basic Research Program of China，the Shanghai Lead-ing Academic Discipline Project，Shanghai University Systems Biology Reaseaxch Funding |
| 摘 要： | Alpha-synuclein plays an important role in Parkinson＇s disease （PD）. The current study of alpha-synuclein mainly concentrates at the gene level. However, it is found that the study at the protein level has special significance. Meanwhile, there is free information on the Internet, such as databases and algorithms of protein-protein interactions （PPIs）. In this paper, a novel method which integrates distributed heterogeneous data sources and algorithms to predict PPIs for alpha- synuclein in silico is proposed. The PPIs generated by the method take advantage of various experimental data, and indicate new information about PPIs for alpha-synuclein. In the end of this paper, the result illustrates that the method is practical. It is hoped that the prediction result obtained by this method can provide guidance for biological experiments of PPIs for alpha-synuclein to reveal possible mechanisms of PD. |
| 关 键 词： | 帕金森疾病 蛋白质 实验 方法 |
| 收稿时间： | 2007-05-29 |
| 修稿时间： | 2007-12-03 |
A novel computational method for protein-protein interaction networks prediction of alpha-synuclein |
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| XIE Jiang,ZHANG Wu,MEI Jian,GU Zhi-li,WU Ji-zong,LI Hui,ZHANG LV-wen.A novel computational method for protein-protein interaction networks prediction of alpha-synuclein[J].Journal of Shanghai University(English Edition),2008,12(6):501-507. | |
| Authors: | XIE Jiang ZHANG Wu MEI Jian GU Zhi-li WU Ji-zong LI Hui ZHANG LV-wen |
| Institution: | 1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P. R. China 2. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P. R. China;Institute of Systems Biology, Shanghai University, Shanghai 200072, P. R. China 3. Institute of Systems Biology, Shanghai University, Shanghai 200072, P. R. China |
| Abstract: | Alpha-synuclein plays an important role in Parkinson's disease(PD).The current study of alpha-synuclein mainly concentrates at the gene level.However, it is found that the study at the protein level has special significance.Meanwhile, there is free information on the Internet, such as databases and algorithms of protein-protein interactions(PPIs).In this paper, a novel method which integrates distributed heterogeneous data sources and algorithms to predict PPIs for alpha-synuclein in silico is proposed.The PPIs generated by the method take advantage of various experimental data, and indicate new information about PPIs for alpha-synuclein.In the end of this paper, the result illustrates that the method is practical.It is hoped that the prediction result obtained by this method can provide guidance for biological experiments of PPIs for alpha-synuclein to reveal possible mechanisms of PD. |
| Keywords: | protein-protein interactions(PPIs) alpha-synuclein heterogeneous data integration computational prediction |
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