SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching Q5U2M8 from www.uniprot.org...

The NucPred score for your sequence is 0.92 (see score help below)

   1  MENTQVIDWDAEEEEETEISSGSLGYSVEPIGRLRFFSGTHGPERDFPLY    50
  51  LGKNVVGRSPDCSVALPFPSISKQHAVIEISAWNKAPILQDCGSLNGTQI   100
 101  VKPPRVLAPGVSHRLRDQELILFADFPCQYHRLNVPPPLVPRSLLTIEKT   150
 151  PRIRGRSQNSRVLLAEDSEEEGDFPSGRSVANGSRNTASPSATVVPESDE   200
 201  EGSSPGPSVPGPSSPFGLGSDTDESQGQQPGVEESSLADNSGAAGEPEQP   250
 251  EVNGVTTGTLAQPTKDKFKDTKMKEEAGSAGVPVGSVVEGSPTLGEDSDT   300
 301  EADEERQPSGSGDSDTDVEEERVPVKKNQVLLGVGIGGPGARGVAHLQDS   350
 351  PTGSDTDVEEDKTALAAPPERSHTAMVINSDTDEEERGEEEEVSAALTLA   400
 401  RLKERGIALWSGEPGTEEVKSQPQVLVERSQSASGRDSDTDVEEGSSGGK   450
 451  REIVPDSPMDVDETLTVTQPESQPPCRPNDVDEDVDMSSPGSHLEGKKAS   500
 501  SALVDKNRAQVEEEVPGPSVTLGEKHQVPLEGAQPPEEARETAVQEGSSS   550
 551  PVADIRMSQQPVAEDAGTECAAAVSEQKSALEVGAQSRSPAAPVEQVVVR   600
 601  TDTSGDPTLPQREGAQTPTGREREAHVGGTKHAKECCDEPEDLCLSATQC   650
 651  FVEGESQHPGAVQSLEDEPTQVFPCLPQEPGPSHLSLPTPGADTLDVPWE   700
 701  VLATQPFCLREQTETSEPIDTHEAHGSQPSLPGEPPGHQHPVPTSLDHTE   750
 751  LLRIDDREMQTVEKAMGHLSCQMMPDGKASGDDPEPSDHRLFSPVPEASA   800
 801  SPQSLLTSQSQKQSTPQPMFPTSSSELALPETLHTKPNVRPRRSSRMTPS   850
 851  PHSSAALKPYTTCPTNQPAASRPTSRPTRGRANRSSTRTPELIVPTGPEL   900
 901  QPSTSTEQPGIPNLTSQVTEGRAHSTSVNMPEPVLTGPEAQPLTSAEQSV   950
 951  TSNLNPRAQPLTLEPVPQTSHQRRRRATGKQGSRTAPVGPKSYSTPAEPE  1000
1001  PQSSASQSSGASEADSPHQKRPRRQVTQKTVVVKEEDPGEIQVKEEPQET  1050
1051  AIPTPGKRKRDPAEGETQGNPTRSRRTKPNQEAAAPKVLFTGVVDSRGER  1100
1101  AVLALGGSLASSVNEASHLVTDRIRRTVKFLCAVGKGIPILSLNWLYQSR  1150
1151  KAGCFLPPDDYLVTDPEQEKNFSFSLRDSLSRARERRLLEDYEIHVTPGV  1200
1201  QPPPPQMGEIISCCGGTVLPSMPHSYKLHRVVITCTEDLPRCAIASRLGL  1250
1251  PLLSPEFLLTGVLKQEATPEAFVLSNLEM                       1279

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

What does the NucPred score mean?

You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper.

NucPred score threshold Specificity Sensitivity
see above fraction of proteins predicted to be nuclear that actually are nuclear fraction of true nuclear proteins that are predicted (coverage)
0.10 0.45 0.88
0.20 0.52 0.83
0.30 0.57 0.77
0.40 0.63 0.69
0.50 0.70 0.62
0.60 0.71 0.53
0.70 0.81 0.44
0.80 0.84 0.32
0.90 0.88 0.21
1.00 1.00 0.02

Sequences which score >= 0.8 with NucPred and which are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.)

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