Sequence-based feature prediction and annotation of proteins

被引:41
|
作者
Juncker, Agnieszka S. [1 ]
Jensen, Lars J. [2 ]
Pierleoni, Andrea [3 ]
Bernsel, Andreas [4 ,5 ]
Tress, Michael L. [6 ]
Bork, Peer [2 ]
von Heijne, Gunnar [4 ,5 ]
Valencia, Alfonso [6 ]
Ouzounis, Christos A. [7 ]
Casadio, Rita [3 ]
Brunak, Soren [1 ]
机构
[1] Tech Univ Denmark, Dept Syst Biol, Ctr Biol Sequence Anal, DK-2800 Lyngby, Denmark
[2] European Mol Biol Lab, D-69117 Heidelberg, Germany
[3] Univ Bologna, Biocomp Grp, I-40126 Bologna, Italy
[4] Stockholm Univ, Dept Biochem & Biophys, Ctr Biomembrane Res, SE-10691 Stockholm, Sweden
[5] Stockholm Univ, Dept Biochem & Biophys, Stockholm Bioinformat Ctr, SE-10691 Stockholm, Sweden
[6] Spanish Natl Canc Res Ctr CNIO, Struct Biol & Biocomp Programme, E-28029 Madrid, Spain
[7] Kings Coll London, Sch Phys Sci & Engn, KCL Ctr Bioinformat, London WC2R 2LS, England
来源
GENOME BIOLOGY | 2009年 / 10卷 / 02期
关键词
SUBCELLULAR-LOCALIZATION; POSTTRANSLATIONAL MODIFICATIONS; EVOLUTIONARY INFORMATION; TRANSMEMBRANE PROTEINS; PHOSPHORYLATION SITES; COMPLETE GENOMES; SIGNAL PEPTIDES; CLEAVAGE SITES; GENE ONTOLOGY; TOPOLOGY;
D O I
10.1186/gb-2009-10-2-206
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome.
引用
收藏
页数:6
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