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

NucPred

Fetching Q10164 from www.uniprot.org...

The NucPred score for your sequence is 0.95 (see score help below)

   1  MVKMDVVRTTGFFLRSEPTTCRITTFAYSAEIIYFHAETTFLFEKIMKEG    50
  51  NELEKYSKIELNSEIWEDEEEEDNSGIVSQNERLMKLVNKQREIIYELHK   100
 101  DLEKVKKDNTSLRMRLSKYESTDSFPSSQPSRANSPQSDSYSSPYEKGKL   150
 151  FPKISLKSSKDVPTASAHISSSDHEKSSSVSLSALNNYNKTTDIKARSLD   200
 201  RLSDMTRPKLLLNTKRSHRSSEEPGASSPVTSPILKDSQKERIQALRNKA   250
 251  IKTYSVSTESAERIDSIRSDNLSPLSLNTSSFRRPITKPTPFNSDSNISI   300
 301  DPKDNNSNKQDHFAEIEDELRQQFLDIKVGRANASSPRRKSISIVKPHGI   350
 351  SSPKHSTNNLSSKSGKFHSDFRVVSENVLLQARSETNSPIIENKEANNFL   400
 401  APTSNVPAYSTPARPTESPPPPPISSSSTTPRPDDKPSLPPRGLSEDNDS   450
 451  LSLQKTGSSDTRRSSFSTLKIPDSDICFTRRRSDSNRTWTVIDPHHSQSF   500
 501  DNDILAEIPTSKLDNSSQKSPGKLSSKGLLNSFSPISPFSKSKSHNHHPS   550
 551  SQVEKSTSNSKGSMLPLDTLYNNKLSFRLDESLVRYLRFELMKTSLASLS   600
 601  PDFDCIGLQFVVGVSASSHLASQWKDEVWSFTRSIGECRSFATSFVLDIG   650
 651  APPFPTLDWFTNDSSVIQNELLRRSVDTYFRYIFQTDLKLEQRIKLLEFL   700
 701  SSDTLREYLHDVFFLPPEHAQKEGVLLKYIENSGLVSRYFYLKDNILYFA   750
 751  ENRNSPVLGTIHLKDAQVNRYNANLPIFSIIDPPHEFLTGENYQSAFVIQ   800
 801  EKQTETRTGTATVHVLLARDVEDQKSWLRAILRQVPGSTSPLNASPFSVL   850
 851  SSDFPGSSRYRDQSSPIRFYGKADSRPVSQEAILSQDISSSPSPVLPPSE   900
 901  NVASYADDSLVSNLTMSPKLRDSMEQVPLENHREFEISDRVSELSFDSST   950
 951  GSVLEIADTRRNQDAPEKHVPVIEIQSSRPSLEKTDQSTPVELLIDSHSQ  1000
1001  NSQNEEKRSRMKFWAFPHHKAENYEQISDTNIPVIETNVMLSPSSTTSAE  1050
1051  PLQKHIVRKSGIFGLPLNEAVNISTQFNDSGLPIVVYRCIEYLESCRAEK  1100
1101  EEGIYRLSGSASTIKHLKEQFNEGVDYDLLSSDEEFDVHVIAGLLKLYLR  1150
1151  NLPTNLLDTSMHKLFELLPNVPNDSAALGELCDVISKLPPENFALLDSLL  1200
1201  HHLRRIIAFEKVNKMNIRNVCIVFSPTLNIPSDIFMMLILNYDHIFTDIS  1250
1251  RQTNGAQNESDSDVSDDNGEDNEFF                           1275

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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