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

NucPred

Fetching Q8X1T3 from www.uniprot.org...

The NucPred score for your sequence is 0.30 (see score help below)

   1  MAQVEDYSSLHRLRKNSEILSNANKILVANRGEIPIRIFRSAHELSMQTV    50
51 AIYSHEDRLSMHRLKADEAYVIGARGQYSPVQAYLQIDEIINIALEHNVS 100
101 MIHPGYGFLSENSEFARKVEDSGMIWIGPPHNVIDAVGDKVSARNLAGKC 150
151 NVPVVPGTDGPIDSVEQAQEFVDKYGYPVIIKAAFGGGGRGMRVVREGES 200
201 IADAFQRATSEAKTAFGNGTCFIERFLDKPKHIEVQLLADNYGNVIHLFE 250
251 RDCSVQRRHQKVVEIAPAKTLPVEVRDAILTDAVKLAKAANYRNAGTAEF 300
301 LVDNQNRHYFIEINPRIQVEHTITEEVTGVDIVAAQIQIAAGASLQQLGL 350
351 LQDKITTRGFAIQCRITTEDPAKNFQPDTGKIEVYRSSGGNGVRLDGGNG 400
401 FAGAIISPHYDSMLVKCSTSGSNYEIARRKMIRALVEFRIRGVKTNIPFL 450
451 LALLTHPTFVSGDCWTTFIDDTPSLFEMVQSKNRAQKLLSYLADLCVNGS 500
501 SIKGQIGLPKLTRDADIPVIHDINGWDIDIKNTPPPESFRQYLLDYGPEQ 550
551 FANQIRAFDGCLIMDTTWRDAHQSLLATRVRTIDLLNIAPATAHAFRYAF 600
601 ALECWGGATFDVAMRFLHEDPWDRLRKLRKAVPNIPFQMLLRGANGVAYS 650
651 SLPDNAIDHFVKQAKDAGVDIFRVFDALNDLEQLKVGVDAVKKAGGVVEA 700
701 TVCYSGDMLKPGKKYNLKYYLETVDKIMEMGTHLLGIKDMAGTLKPAAAK 750
751 LLISSIRKKYPSVPIHVHTHDSAGTGVITYVACALAGADVVDCAVNSMSG 800
801 LTSQPSMSAFIAALDNEINTGITEQNAREIDAYWSEMRLLYSCFEADLKG 850
851 PDPEVYNHEIPGGQLTNLLFQAQQVGLGEKWLETKKAYEEANMLLGDIVK 900
901 VTPTSKVVGDLAQFMVSNKLSPKDVERLASELDFPDSVLDFFEGLMGTPY 950
951 GGFPEPLRTNILAGKRRKLTRRPGLELEPFDLKKIKEELQSRFGNSITEC 1000
1001 DVASYNMYPKVFESFKKIQEKYGDLSVLPTRFFLAPPKLNEEISVEIEQG 1050
1051 KTFVIKVMAIGDLSPQTGTREVYFEFNGEMRKVTVEDKLAAVETVTRPKA 1100
1101 DAHNPNEVGAPMAGVVIEVRVHPGVEVKKGDPLCVLSAMKMEMVISSPVS 1150
1151 GRVGEVIVHENDSVDAGDLICKITK 1175

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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