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

NucPred

Fetching Q86XP1 from www.uniprot.org...

The NucPred score for your sequence is 0.48 (see score help below)

   1  MAGAGGQHHPPGAAGGAAAGAGAAVTSAAASAGPGEDSSDSEAEQEGPQK    50
  51  LIRKVSTSGQIRTKTSIKEGQLLKQTSSFQRWKKRYFKLRGRTLYYAKDS   100
 101  KSLIFDEVDLSDASVAEASTKNANNSFTIITPFRRLMLCAENRKEMEDWI   150
 151  SSLKSVQTREPYEVAQFNVEHFSGMHNWYACSHARPTFCNVCRESLSGVT   200
 201  SHGLSCEVCKFKAHKRCAVRATNNCKWTTLASIGKDIIEDEDGVAMPHQW   250
 251  LEGNLPVSAKCAVCDKTCGSVLRLQDWKCLWCKTMVHTACKDLYHPICPL   300
 301  GQCKVSIIPPIALNSTDSDGFCRATFSFCVSPLLVFVNSKSGDNQGVKFL   350
 351  RRFKQLLNPAQVFDLMNGGPHLGLRLFQKFDNFRILVCGGDGSVGWVLSE   400
 401  IDKLNLNKQCQLGVLPLGTGNDLARVLGWGGSYDDDTQLPQILEKLERAS   450
 451  TKMLDRWSIMTYELKLPPKASLLPGPPEASEEFYMTIYEDSVATHLTKIL   500
 501  NSDEHAVVISSAKTLCETVKDFVAKVEKTYDKTLENAVVADAVASKCSVL   550
 551  NEKLEQLLQALHTDSQAAPVLPGLSPLIVEEDAVESSSEESLGESKEQLG   600
 601  DDVTKPSSQKAVKPREIMLRANSLKKAVRQVIEEAGKVMDDPTVHPCEPA   650
 651  NQSSDYDSTETDESKEEAKDDGAKESITVKTAPRSPDARASYGHSQTDSV   700
 701  PGPAVAASKENLPVLNTRIICPGLRAGLAASIAGSSIINKMLLANIDPFG   750
 751  ATPFIDPDLDSVDGYSEKCVMNNYFGIGLDAKISLEFNNKREEHPEKCRS   800
 801  RTKNLMWYGVLGTRELLQRSYKNLEQRVQLECDGQYIPLPSLQGIAVLNI   850
 851  PSYAGGTNFWGGTKEDDIFAAPSFDDKILEVVAIFDSMQMAVSRVIKLQH   900
 901  HRIAQCRTVKITIFGDEGVPVQVDGEAWVQPPGIIKIVHKNRAQMLTRDR   950
 951  AFESTLKSWEDKQKCDSGKPVLRTHLYIHHAIDLATEEVSQMQLCSQAAE  1000
1001  ELITRICDAATIHCLLEQELAHAVNACSHALNKANPRCPESLTRDTATEI  1050
1051  AINVKALYNETESLLVGRVPLQLESPHEERVSNALHSVEVELQKLTEIPW  1100
1101  LYYILHPNEDEEPPMDCTKRNNRSTVFRIVPKFKKEKVQKQKTSSQPVQK  1150
1151  WGTEEVAAWLDLLNLGEYKDIFIRHDIRGAELLHLERRDLKDLGIPKVGH  1200
1201  VKRILQGIKELGRSTPQSEV                                1220

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.)

Go back to the NucPred Home Page.