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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术
办公地点:创新园大厦B811
联系方式:0411-84706009-2811
电子邮箱:wangjian@dlut.edu.cn
The impact of protein interaction networks' characteristics on computational complex detection methods
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论文类型:期刊论文
发表时间:2018-02-14
发表刊物:JOURNAL OF THEORETICAL BIOLOGY
收录刊物:SCIE、PubMed
卷号:439
页面范围:141-151
ISSN号:0022-5193
关键字:Protein-protein interaction networks; Computational protein complex detection methods
摘要:Protein complexes of physically interacting proteins play an important role in organizing various biological processes in the cell. Therefore, correctly identifying complexes is useful for deciphering the cellular mechanisms underlying many biological processes. Since the existing high-throughput techniques have produced a large amount of protein interactions, computational methods are useful complements to the experimental methods for detecting protein complexes. In this paper, we analyze six protein interaction networks widely used for protein complex detection, and compare the performance of six classic computational methods on them in order to find the impacts of network characteristics on the performances of these complex detection methods. Furthermore, we change topological characteristics of six protein interaction networks, and verify the findings by testing performances of six methods on new ones. We hope our study will not only help recognize the relations between characteristics of protein interaction networks and computational complex detection methods, but also provide valuable insight to improve the performance in protein complex detection area. (c) 2017 Elsevier Ltd. All rights reserved.