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

NucPred

Fetching Q6IRB8 from www.uniprot.org...

The NucPred score for your sequence is 0.82 (see score help below)

   1  MVLTQQENLSVLVGQRFTCLLGTDLQLDPDGVSKWPWKSGIVRAASHKDL    50
  51  HCPEIKIFVEFDDEAWEKRTWIELYGATVKMFLVEHNLVLADRVSPSNSV   100
 101  PVQCPAMVYKVLVGKFSLGTATCLQFLGDKDKLFLSKELVKPVRDRETLK   150
 151  QFMQENKTFNKAFQELIRKSVDESRLQQATRNIIGMPINVYSMDPSMQWF   200
 201  SATISNVRTASRALEIKCEQLPSLKIIDPALLHVVLVHNYGDLNDKSRKP   250
 251  RAPKRKSQDTESEDQTELKQTRNEEVPSKDVTQKTSFLTYRRDDGKTLVV   300
 301  VDNPKATNNLFNYINTTTEDQQKVQQQSLSSKQSVPVGFGEALLGCAATT   350
 351  PGILNAATPPQANSPPSFGAATPQGKGTQNLPGDTTLLNGEAKREETNLF   400
 401  LSAAASQGNKRSLGFGMMESPSTFSSLSSMPSWSGQPKSENGPKSENLFA   450
 451  AFTNSSTVFPKGFEFSVKSFPEQKMLSVTDSPKTAPPMTCVQQQEQKVVK   500
 501  KPENNHTSVRAIKPQEPPYPKSPNKNDGVTYPRSILLDPQKLKRLQQSGD   550
 551  CFVQDGSCNDIAPHLHKCRECRLDRFGRSREQRDSAVFCRFFHFRRLHFN   600
 601  KHGMLKEGGFLTPNKYDAEAINLWLPLASNVVDLDLDTAKYILANIGDHF   650
 651  CKLVMSEKEVMSATDPSKQVAWKRAVRGVREMCDACDTTIFNLHWVCPKC   700
 701  GFGVCVDCYRMKKKSLSSGEDGNETFSWLKCVKGQLHEPENLMPTQIVPG   750
 751  KALYDVGDIVHSVRGRWGIKSNCLCSNKHVRPVVKPVVKEEVKPSTPEPE   800
 801  PTKAPLAQPNVCTAPDPIAIPSTPPTPACSSPLSWLTNLSQTTVNKENKD   850
 851  NLFASNLEHKPLPSFASFGKPVSALQTFGSSILTPTTSNNSGFLRNLLNS   900
 901  STLKQETNEKSTPKILDDIFASLVQSRPLSDFARKPQGLPIQPSLMGFNT   950
 951  PHYWLCDNRLLCLQDPNNKSNWNVFRECWKQGQPVIVSGIHNNLNSELWR  1000
1001  PESFRREFGDQEADLVNCRTNDIITGATVGDFWEGFEDISARLKNDKGEA  1050
1051  MVLKLKDWPPGEDFRDTMLSRFEDLMNNIPLPEYTRREGKLNLAARLPAY  1100
1101  FVRPDLGPKMYNAYGLITPEDRKYGTTNLHLDVSDATNVMVYVGIPKGEH  1150
1151  DQEQEVIRTIQDGDADELTIKRYIEFKEKPGALWHIFAAKDTEKIRQFLK  1200
1201  KVAEEQGHENPPDHDPIHDQSWYLDNTLRKRLLQEHGVQGWAIVQFLGDA  1250
1251  VFIPAGAPHQVHNLYSCIKVAEDFVSPEHVKHCFWLTQEFRYLSHTHTNH  1300
1301  EDKLQVKNVIYHAVKDSIAILKANEASLGKL                     1331

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.