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

NucPred

Fetching O13395 from www.uniprot.org...

The NucPred score for your sequence is 0.40 (see score help below)

   1  MSTKDAHDPFATPLETITHDPLAETAGLKADYDKRAYGEANPALMGTLEK    50
  51  DDMANRPIDAVEEVPTTSIRKWWVRLTWFTTWWIPSFVLSKCGGMKRPDV   100
 101  QMAWREKFTICAIIFWLCAIILFYIIAFGRLLCPDYDKAWNLSQLSQHAG   150
 151  ENDYYAAVRGTVYDFSKFYKGDHSDITNLQTSSDLMLQLAGQDLTGYFPV   200
 201  PLSVGCQSLVSDTSLALMPTANNTPLISQAIHTSGPLQGDTSSKLHDINW   250
 251  YPDRFLPFVKKLRKGYYVYSKKDLANQGQWRNWAVIHGKVYDLSNYLNTV   300
 301  STYQTNPAYSFLDSSIVSLFKSQAGSDITADFEDAMSTFNQTYRGATQAC   350
 351  LDNVFYVGRTDFRDTARCEVQNYLLLAFSVLLVTTVLAKFIAALQLGTKR   400
 401  SPEQQDKFVICQVPCYTEGEEELRKTIDSLAGLEYDDKRKLLFLICDGMI   450
 451  VGSGNDRSTPRIVLDILGVDPKIDPEPLMFKSVAEGSKQLNYAKVYSGLY   500
 501  EFEGHVVPYIVVVKVGRPSERSRPGNRGKRDSQILLMRYLNRVHFDAPMF   550
 551  PLELEIYHQMKNVIGIDPAFYEYILMVDADTRVEADGLNRLVANCADDSS   600
 601  IIAICGETTLDNAEGSWWTMIQVYEYYISHHLSKAFESLFGSVTCLPGCF   650
 651  SLYRIRSSDKGRPLFISNRIIDDYSENRVDTLHKKNLLHLGEDRYLTTLV   700
 701  LKNFPSFRTKFVPDAKALTSAPDRFGVLLSQRRRWINSTVHNLAELVLMP   750
 751  ELCGFCLFSMRFIVFIDLLGTVILPATAVYLVYLIVTVATKSAPIPYISI   800
 801  AMIAAVYGLQAILFLLKRQWQYIGWLVIYILAYPVFSFFLPIYSFWHMDD   850
 851  FSWGNTRIVVGEKGNKKIVAGTDDEPYDDTMIPLKRFSEYQREVWEEEAA   900
 901  APSMRSGMTGASGPFGNSQAILHSGPPSVYRAGGSAYAGSVAGSDYGAGL   950
 951  GDYYQNTNVLQKPAHSRQTSAAALSQMGGSQAASMMFGTGTPSVYGMAGM  1000
1001  GSMYGMPGSSASMYGLPNPMMNTTASMYGLPPMLANPLGANHSPAHSDIG  1050
1051  VSMPVSQQNTGGSHIWAQPPEAATVAANSGRGSGMQARPVSTLSALNATN  1100
1101  PFGVTAVARALAVNEASDPTDEEIKSAVQTYLANQPSLMNVTKRSVREAL  1150
1151  VAAFPNAELSYKKSMINKAIDDTLSGGAQA                      1180

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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