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

NucPred

Fetching P52824 from www.uniprot.org...

The NucPred score for your sequence is 0.17 (see score help below)

   1  MAAAAEPGARAWLGGGSPRPGSPACSPVLGSGGRARPGPGPGPGPERAGV    50
  51  RAPGPAAAPGHSFRKVTLTKPTFCHLCSDFIWGLAGFLCDVCNFMSHEKC   100
 101  LKHVRIPCTSVAPSLVRVPVAHCFGPRGLHKRKFCAVCRKVLEAPALHCE   150
 151  VCELHLHPDCVPFACSDCRQCHQDGHQDHDTHHHHWREGNLPSGARCEVC   200
 201  RKTCGSSDVLAGVRCEWCGVQAHSLCSAALAPECGFGRLRSLVLPPACVR   250
 251  LLPGGFSKTQSFRIVEAAEPGEGGDGADGSAAVGPGRETQATPESGKQTL   300
 301  KIFDGDDAVRRSQFRLVTVSRLAGAEEVLEAALRAHHIPEDPGHLELCRL   350
 351  PPSSQACDAWAGGKAGSAVISEEGRSPGSGEATPEAWVIRALPRAQEVLK   400
 401  IYPGWLKVGVAYVSVRVTPKSTARSVVLEVLPLLGRQAESPESFQLVEVA   450
 451  MGCRHVQRTMLMDEQPLLDRLQDIRQMSVRQVSQTRFYVAESRDVAPHVS   500
 501  LFVGGLPPGLSPEEYSSLLHEAGATKATVVSVSHIYSSQGAVVLDVACFA   550
 551  EAERLYMLLKDMAVRGRLLTALVLPDLLHAKLPPDSCPLLVFVNPKSGGL   600
 601  KGRDLLCSFRKLLNPHQVFDLTNGGPLPGLHLFSQVPCFRVLVCGGDGTV   650
 651  GWVLGALEETRYRLACPEPSVAILPLGTGNDLGRVLRWGAGYSGEDPFSV   700
 701  LLSVDEADAVLMDRWTILLDAHEAGSAENDTADAEPPKIVQMSNYCGIGI   750
 751  DAELSLDFHQAREEEPGKFTSRLHNKGVYVRVGLQKISHSRSLHKQIRLQ   800
 801  VERQEVELPSIEGLIFINIPSWGSGADLWGSDSDTRFEKPRMDDGLLEVV   850
 851  GVTGVVHMGQVQGGLRSGIRIAQGSYFRVTLLKATPVQVDGEPWVQAPGH   900
 901  MIISAAGPKVHMLRKAKQKPRRAGTTRDARADAAPAPESDPR           942

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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