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

NucPred

Fetching Q8BND3 from www.uniprot.org...

The NucPred score for your sequence is 0.34 (see score help below)

   1  MFFYLSKKIAVPNNVKLKCISWNKDQGFIACGGEDGLLKVLRLETQTDDS    50
51 KLRGLAAPSNLSMNQNLEGHSGAVQVVTWNEQYQKLTTSDQNGLIIVWML 100
101 YKGSWYEEMINNRNKSVVRSMSWNADGQKICIVYEDGAVIVGSVDGNRIW 150
151 GKDLKGIQLCHVTWSADSKILLFGMANGEIHIYDNQGNFIMKMKLNCLVN 200
201 VTGAISIAGIHWYHGTEGYVEPDCPCLAICFDNGRCQIMRHENDQNPVLI 250
251 DTGMYVVGIQWNHIGSVLAVAGSQKVVTQDKDINIVQFYTPFGEHLGTLK 300
301 VPGKQMCSLSWEGGGLKIALAVDSFIYFANIRPDYKWGYCSNTVVYAYTR 350
351 PDRPEYCVVFWDTKNSEKYVKYVKSLISITTCGDFCILATKADENHPQEE 400
401 NEMETFGATFVLVLCNSIGTPLDPKYIDLVPLFVAMTKTHVIAASKEAFY 450
451 TWQYRVAKKLTALEINQITRSRKEGRERIYHVDDVPSGSVDGVFDYSKAI 500
501 QGTRDPICAITASDKTLIVGRESGVIQRYSFPNVALIQKYSLDCRACQLS 550
551 LNCNSSRLAIIDIAGVLTFFDLDTRVTDSTGQQVVGELLKLERKDVWDMK 600
601 WAKDNPDLFAMMEKTRMYVFRNLDPEEPIQTSGYICNFEDLEIKSVLLDE 650
651 ILKDPEHPSKDYIMNFEIRSLRDSRALIEKVGIEDASQFIEDNPHPRLWR 700
701 LLAEAALQKLDLYTAQQAFVRCKDYQGIKFVKLLGNLQSESMKQAEVIAY 750
751 FGRFEDAERMYQDMDRRDLAIGLRMKLGDWFRVLQLLKTGSGDADDSLLE 800
801 QANNAIGEYFADRQKWQNAVQYYVKGRNQERLAECYYMLEDYEGLETLAN 850
851 SLPENHKLLPEIAQMFVRVGMCEQAVSAFLKCNQPKAAVDTCVHLNQWNK 900
901 AVELAKSHSMKEIGSLLARYASHLLEKNKTLDAIELYRKASYFFDAAKLM 950
951 YKIADEEAKKRTKPLRVKKLYVLSALLIEQYHEQMKNAQRGKVKGKNSEA 1000
1001 TSALAGLLEEEVLSTTSRFTDNAWRGAEAYHFFILAQRQLYEGYVDTALK 1050
1051 TALHLRDYEDIIPSVEIYSLLALCACASRAFGTCSKAFIKLESLETLSAE 1100
1101 QKQQYEDLALEIFTKHTPKDNRKSELNSLLEGGEGKLPTCIATGSPIIEY 1150
1151 QFWVCKVCKHYVLAQEISNYNFCPLCHSSVE 1181

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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