AtPID:: Arabidopsis thaliana protein interactome database -: an integrative platform for plant systems biology

被引:104
作者
Cui, Jian [2 ,4 ]
Li, Peng [2 ,4 ]
Li, Guang [2 ,4 ]
Xu, Feng [2 ,4 ]
Zhao, Chen [2 ,4 ]
Li, Yuhua [2 ,4 ]
Yang, Zhongnan [5 ]
Wang, Guang [5 ]
Yu, Qingbo [5 ]
Li, Yixue
Shi, Tieliu [1 ,3 ,4 ,6 ]
机构
[1] Chinese Acad Sci, Shanghai Informat Ctr Life Sci, Shanghai 200031, Peoples R China
[2] NE Forestry Univ, Coll Life Sci, Harbin 150040, Heilongjiang, Peoples R China
[3] Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Syst Biol, Bioinformat Ctr, Shanghai 200031, Peoples R China
[4] NE Forestry Univ, Daqing Inst Biotechnol, Daqing 163316, Heilongjiang, Peoples R China
[5] Shanghai Normal Univ, Coll Life & Environm Sci, Shanghai 200234, Peoples R China
[6] Shanghai Univ, Bioinformat Ctr, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
D O I
10.1093/nar/gkm844
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
Arabidopsis thaliana Protein Interactome Database (AtPID) is an object database that integrates data from several bioinformatics prediction methods and manually collected information from the literature. It contains data relevant to proteinprotein interaction, protein subcellular location, ortholog maps, domain attributes and gene regulation. The predicted protein interaction data were obtained from ortholog interactome, microarray profiles, GO annotation, and conserved domain and genome contexts. This database holds 28 062 proteinprotein interaction pairs with 23 396 pairs generated from prediction methods. Among the rest 4666 pairs, 3866 pairs of them involving 1875 proteins were manually curated from the literature and 800 pairs were from enzyme complexes in KEGG. In addition, subcellular location information of 5562 proteins is available. AtPID was built via an intuitive query interface that provides easy access to the important features of proteins. Through the incorporation of both experimental and computational methods, AtPID is a rich source of information for system-level understanding of gene function and biological processes in A. thaliana. Public access to the AtPID database is available at http://atpid.biosino.org/.
引用
收藏
页码:D999 / D1008
页数:10
相关论文
共 66 条
[11]  
DAEUI P, 2005, BIOINFORMATICS, V21, P3234
[12]   Conservation of gene order: a fingerprint of proteins that physically interact [J].
Dandekar, T ;
Snel, B ;
Huynen, M ;
Bork, P .
TRENDS IN BIOCHEMICAL SCIENCES, 1998, 23 (09) :324-328
[13]   Computational modeling of the Plasmodium falciparum interactome reveals protein function on a genome-wide scale [J].
Date, SV ;
Stoeckert, CJ .
GENOME RESEARCH, 2006, 16 (04) :542-549
[14]   Comprehensive interaction map of the Arabidopsis MADS box transcription factors [J].
de Folter, S ;
Immink, RGH ;
Kieffer, M ;
Parenicová, L ;
Henz, SR ;
Weigel, D ;
Busscher, M ;
Kooiker, M ;
Colombo, L ;
Kater, MM ;
Davies, B ;
Angenent, GC .
PLANT CELL, 2005, 17 (05) :1424-1433
[15]   Protein interactions - Two methods for assessment of the reliability of high throughput observations [J].
Deane, CM ;
Salwinski, L ;
Xenarios, I ;
Eisenberg, D .
MOLECULAR & CELLULAR PROTEOMICS, 2002, 1 (05) :349-356
[16]   Locating proteins in the cell using TargetP, SignalP and related tools [J].
Emanuelsson, Olof ;
Brunak, Soren ;
von Heijne, Gunnar ;
Nielsen, Henrik .
NATURE PROTOCOLS, 2007, 2 (04) :953-971
[17]   Protein interaction maps for complete genomes based on gene fusion events [J].
Enright, AJ ;
Iliopoulos, I ;
Kyrpides, NC ;
Ouzounis, CA .
NATURE, 1999, 402 (6757) :86-90
[18]   THE 2-HYBRID SYSTEM - AN ASSAY FOR PROTEIN-PROTEIN INTERACTIONS [J].
FIELDS, S ;
STERNGLANZ, R .
TRENDS IN GENETICS, 1994, 10 (08) :286-292
[19]  
FORMOSA T, 1991, METHOD ENZYMOL, V208, P24
[20]  
Fu Lawrence D, 2005, AMIA Annu Symp Proc, P960