Comparative analysis and unification of domain-domain interaction networks

被引:20
作者
Bjorkholm, Patrik [1 ]
Sonnhammer, Erik L. L. [1 ]
机构
[1] Stockholm Univ, Stockholm Bioinformat Ctr, S-10691 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
PROTEIN-PROTEIN INTERACTIONS; DATABASE; PREDICTION; GENOME;
D O I
10.1093/bioinformatics/btp522
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Certain protein domains are known to preferentially interact with other domains. Several approaches have been proposed to predict domain-domain interactions, and over nine datasets are available. Our aim is to analyse the coverage and quality of the existing resources, as well as the extent of their overlap. With this knowledge, we have the opportunity to merge individual domain interaction networks to construct a comprehensive and reliable database. Results: In this article we introduce a new approach towards comparing domain-domain interaction networks. This approach is used to compare nine predicted domain and protein interaction networks. The networks were used to generate a database of unified domain interactions, UniDomInt. Each interaction in the dataset is scored according to the benchmarked reliability of the sources. The performance of UniDomInt is an improvement compared to the underlying source networks and to another composite resource, Domine.
引用
收藏
页码:3020 / 3025
页数:6
相关论文
共 28 条
[1]  
Bader GD, 2003, NUCLEIC ACIDS RES, V31, P248, DOI 10.1093/nar/gkg056
[2]   Prediction of protein-protein interactions using random decision forest framework [J].
Chen, XW ;
Liu, M .
BIOINFORMATICS, 2005, 21 (24) :4394-4400
[3]   MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].
DEMPSTER, AP ;
LAIRD, NM ;
RUBIN, DB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38
[4]   Inferring domain-domain interactions from protein-protein interactions [J].
Deng, MH ;
Mehta, S ;
Sun, FZ ;
Chen, T .
GENOME RESEARCH, 2002, 12 (10) :1540-1548
[5]   iPfam:: visualization of protein-protein interactions in PDB at domain and amino acid resolutions [J].
Finn, RD ;
Marshall, M ;
Bateman, A .
BIOINFORMATICS, 2005, 21 (03) :410-412
[6]   The Pfam protein families database [J].
Finn, Robert D. ;
Tate, John ;
Mistry, Jaina ;
Coggill, Penny C. ;
Sammut, Stephen John ;
Hotz, Hans-Rudolf ;
Ceric, Goran ;
Forslund, Kristoffer ;
Eddy, Sean R. ;
Sonnhammer, Erik L. L. ;
Bateman, Alex .
NUCLEIC ACIDS RESEARCH, 2008, 36 :D281-D288
[7]   Interrogating domain-domain interactions with parsimony based approaches [J].
Guimaraes, Katia S. ;
Przytycka, Teresa M. .
BMC BIOINFORMATICS, 2008, 9 (1)
[8]   Predicting domain-domain interactions using a parsimony approach [J].
Guimaraes, Katia S. ;
Jothi, Raja ;
Zotenko, Elena ;
Przytycka, Teresa M. .
GENOME BIOLOGY, 2006, 7 (11)
[9]   Evolutionary conservation of domain-domain interactions [J].
Itzhaki, Zohar ;
Akiva, Eyal ;
Altuvia, Yael ;
Margalit, Hanah .
GENOME BIOLOGY, 2006, 7 (12)
[10]   Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions [J].
Jothi, Raja ;
Cherukuri, Praveen F. ;
Tasneem, Asba ;
Przytycka, Teresa M. .
JOURNAL OF MOLECULAR BIOLOGY, 2006, 362 (04) :861-875