SLiMFinder: a web server to find novel, significantly over-represented, short protein motifs

被引:52
作者
Davey, Norman E. [4 ]
Haslam, Niall J. [2 ,3 ]
Shields, Denis C. [2 ,3 ]
Edwards, Richard J. [1 ]
机构
[1] Univ Southampton, Sch Biol Sci, Southampton, Hants, England
[2] Univ Coll Dublin, Sch Med & Med Sci, Dublin 4, Ireland
[3] Univ Coll Dublin, UCD Conway Inst, UCD Complex & Adapt Syst Lab, Dublin 4, Ireland
[4] European Mol Biol Lab, Struct & Computat Biol Unit, D-69117 Heidelberg, Germany
基金
爱尔兰科学基金会;
关键词
INTERACTION NETWORKS; LINEAR MOTIFS; DISCOVERY; SEQUENCES; SLIMDISC; PATTERNS; RESOURCE;
D O I
10.1093/nar/gkq440
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
Short, linear motifs (SLiMs) play a critical role in many biological processes, particularly in protein-protein interactions. The Short, Linear Motif Finder (SLiMFinder) web server is a de novo motif discovery tool that identifies statistically over-represented motifs in a set of protein sequences, accounting for the evolutionary relationships between them. Motifs are returned with an intuitive P-value that greatly reduces the problem of false positives and is accessible to biologists of all disciplines. Input can be uploaded by the user or extracted directly from UniProt. Numerous masking options give the user great control over the contextual information to be included in the analyses. The SLiMFinder server combines these with user-friendly output and visualizations of motif context to allow the user to quickly gain insight into the validity of a putatively functional motif. These visualizations include alignments of motif occurrences, alignments of motifs and their homologues and a visual schematic of the top-ranked motifs. Returned motifs can also be compared with known SLiMs from the literature using CompariMotif. All results are available for download. The SLiMFinder server is available at: http://bioware.ucd.ie/slimfinder.html.
引用
收藏
页码:W534 / W539
页数:6
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