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

NucPred

Fetching Q8W1E0 from www.uniprot.org...

The NucPred score for your sequence is 0.39 (see score help below)

   1  MNFNNELSDLKNRFLFRTLRAQKCSDVARDRIDFFIWELKFLNCFLHLQS    50
  51  FAFASECGMLDISQKMIEICKRFNTPPPHNSFAYWKEVICKRLCAISIQP   100
 101  DASSDDGFACWKKVIWKTKQEFRAKYSFPKTLLADNKVYDDDDTNPKFVM   150
 151  EFIDAVVGNLNVLVKINDPSSLLFVPGPKEQIEQVLKELKLLRFFVCFVS   200
 201  NKCIEPQYQHTTFYTHALIEASHIAMVVWLNLPIYGNRNQDLASSEVSCL   250
 251  LSDFMEMKIKSIQPDISRNNIYIDVLRALKSTIPQAQDKHAAESGIVETP   300
 301  THNLMVGLSDQMANLQEMLCLLRDNLIHLPILDLEFHLQDMDSVIVDAGL   350
 351  LIYSLYDIKGQKEDTTLEDINQALGFDLPRNIEPIKAMINLVMQKAFQCN   400
 401  LPRIHGLGYVDFLLKNLKDFQGRYSDSLDFLKNQLQVIQTEFESLQPFLK   450
 451  VVVEEPHNKLKTLNEDCATQIIRKAYEVEYVVDACINKEVPQWCIERWLL   500
 501  DIIEEITCIKAKIQEKNTVEDTMKTVIARTSSKLARTPRMNEEIVGFEDV   550
 551  IENLRKKLLNGTKGQDVISIHGMPGLGKTTLANSLYSDRSVFSQFDICAQ   600
 601  CCVSQVYSYKDLILALLRDAIGEGSVRRELHANELADMLRKTLLPRRYLI   650
 651  LVDDVWENSVWDDLRGCFPDVNNRSRIILTTRHHEVAKYASVHSDPLHLR   700
 701  MFDEVESWKLLEKKVFGEESCSPLLKNVGLRIAKMCGQLPLSIVLVAGIL   750
 751  SEMEKEVECWEQVANNLGSYIHNDSRAIVDKSYHVLPCHLKSCFLYFGAF   800
 801  LEDRVIDISRLIRLWISEAFIKSSEGRRLEDIAEGYLENLIGRNLVMVTQ   850
 851  RSISDGKAKECRLHDVLLDFCKERAAEENFLLWINRDQITKPSSCVYSHK   900
 901  QHAHLAFTEMHNLVEWSASCSFVGSVVLSNKYDSYFSTRDISSLHDFSIS   950
 951  RILPNFKFLKVLDLEHRVFIDFIPTELVYLKYFSAHIEQNSIPSSISNLW  1000
1001  NLETLILKSPIYALRCTLLLPSTVWDMVKLRHLYIPDFSTRIEAALLENS  1050
1051  AKLYNLETLSTLYFSRVEDAELMLRKTPNLRKLICEVECLEYPPQYHVLN  1100
1101  FPIRLEILKLYRSKFKTIPFCISAPNLKYLKLCGFSLDSQYLSETADHLK  1150
1151  HLEVLILYKVEFGDHREWKVSNGKFPQLKILKLEYLSLVKWIVADDAFPN  1200
1201  LEQLVLRGCQDLMEIPSCFMDILSLKYIGVEYCNESVVKSALNIQETQVE  1250
1251  DYQNTNFKLVLIEFSLQKKAWKLNLTDAEDMHNAVKNILAEIR         1293

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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