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

NucPred

Fetching Q24523 from www.uniprot.org...

The NucPred score for your sequence is 0.81 (see score help below)

   1  MFDRTVNAKFKPASSNAGPGNNPVRRNSMLTPSRGVTIGGTGGNIRKLTK    50
  51  VSSLTSNHHFAVCYPPSNIYQNSNNAGSNSALQRTTSESLRLNMMSRVAA   100
 101  GATPTTVSRASSNSSLATSTSTSLAPKSSSSSGGSNSTPQQQQQQLVSSN   150
 151  NSSSSSNNSFTKASSPNNNGARSVGGAATSAATGTTAAAGSHHHQPHHHH   200
 201  HHHHHHHQHHNHQQQQQQQTSLSQGHASLTVAGGSASAGGGGGGGSGSSS   250
 251  GTAAGGTNRKPKTTSSFEITSVTVGHPKLNAAGDTGDESADDLDESHTDD   300
 301  NSRITDLENETPSMSEDTFSKEEVYYANNALSTNAPVIPTSSQYGLVVVD   350
 351  PIAPSLGQTIQNVQVNVSDNIINVVSGAVTPGGTKKKDDIKETQHRSERF   400
 401  KVVKIESTEPFKRGRWMCMDYLDHSSVGNGGNNNEKTGSSTSEAHAATTD   450
 451  GGAAGVGAGSEAPAHKTTQSMILPPTQKLNENHLEANSTDANWNYAEQQQ   500
 501  QQQQQQQQQQTIVGNALTKTLPVALRNVSRSSSVTRSPNATVEFLSPNLL   550
 551  AQQQQQQQQLFDSVNANAASSPNPAGDPNNMDYARTAAMQLHQTLQQLKQ   600
 601  REDAMDVPPGAGGYANYQNGGDSAVGAASNNNSAAAATGESQLSTSYVEQ   650
 651  QQQQQQPLSPAPLTPQAAPTFAAVAAGQSPNFQLEQQQQQQQATSQIDGI   700
 701  VPQPFNPQQQQQQTPQQSTAQQAAAAANATSAVTAPPPQQTSNTSNAAVT   750
 751  TGQGQTMPLLSHMTSYEQQQPNLGAAAAAAAAGGTAATSVAAPQAIPTLQ   800
 801  LQSAPSTIADPQQLMVPQQQQQQQHQEEQQQQPQQQQQPLPPANIASASA   850
 851  NNSNLNLTNTNVVATGEATTNALTLTDEQATAALAAAFATGAAAAATGAT   900
 901  SAAAATQQQIQQLQQQPNAESETESFITASNPGGNRKRAFSNPHIGGPND   950
 951  PSFMHRLNPQLYYYNKSQSGRSSFCVDESLWPTNNPNGAVSDTNLYMGSS  1000
1001  TDEDYEEAIDQFSPTIYTTRSASRAIPIPNSAGSSPQHQMHHSQPRIAIG  1050
1051  INQMEGGGPTRSTGAFSASPSIYAYPHSPFYASSPETSFGSAAMPGHPAA  1100
1101  SSRISFSYDPAFQRLQVPNASGDRRPRSPLECASVFAAVAAAATCGDAAG  1150
1151  GAADTVISSASGTSAVAIDNKIEQAMDLVKSHLMIAVREEVEVLKERISE  1200
1201  LMDKINKLELENSILKSNIPQETLQQLQLQLQLAAPPATPAIQAAPAVQS  1250
1251  VVAPAAAGQAVQQQAAGAVAVTGVATSPASAVVPTSIPNGSAENGSSAVE  1300
1301  SAAVSVEQQVQQVTSAAAAAASVVTANGPMS                     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.)

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