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

NucPred

Fetching Q12766 from www.uniprot.org...

The NucPred score for your sequence is 0.51 (see score help below)

   1  MDASYDGTEVTVVMEEIEEAYCYTSPGPPKKKKKYKIHGEKTKKPRSAYL    50
  51  LYYYDIYLKVQQELPHLPQSEINKKISESWRLLSVAERSYYLEKAKLEKE   100
 101  GLDPNSKLSALTAVVPDIPGFRKILPRSDYIIIPKSSLQEDRSCPQLELC   150
 151  VAQNQMSPKGPPLVSNTAPETVPSHAGMAEQCLAVEALAEEVGALTQSGA   200
 201  VQEIATSEILSQDVLLEDASLEVGESHQPYQTSLVIEETLVNGSPDLPTG   250
 251  SLAVPHPQVGESVSVVTVMRDSSESSSSAPATQFIMLPLPAYSVVENPTS   300
 301  IKLTTTYTRRGHGTCTSPGCSFTYVTRHKPPKCPTCGNFLGGKWIPKEKP   350
 351  AKVKVELASGVSSKGSVVKRNQQPVTTEQNSSKENASKLTLENSEAVSQL   400
 401  LNVAPPREVGEESEWEEVIISDAHVLVKEAPGNCGTAVTKTPVVKSGVQP   450
 451  EVTLGTTDNDSPGADVPTPSEGTSTSSPLPAPKKPTGADLLTPGSRAPEL   500
 501  KGRARGKPSLLAAARPMRAILPAPVNVGRGSSMGLPRARQAFSLSDKTPS   550
 551  VRTCGLKPSTLKQLGQPIQQPSGPGEVKLPSGPSNRTSQVKVVEVKPDMF   600
 601  PPYKYSCTVTLDLGLATSRGRGKCKNPSCSYVYTNRHKPRICPSCGVNLA   650
 651  KDRTEKTTKAIEVSSPLPDVLNATEPLSTAQREIQRQSTLQLLRKVLQIP   700
 701  ENESELAEVFALIHELNSSRLILSNVSEETVTIEQTSWSNYYESPSTQCL   750
 751  LCSSPLFKGGQNSLAGPQECWLLTASRLQTVTAQVKMCLNPHCLALHSFI   800
 801  DIYTGLFNVGNKLLVSLDLLFAIRNQIKLGEDPRVSINVVLKSVQEQTEK   850
 851  TLTSEELSQLQELLCNGYWAFECLTVRDYNDMICGICGVAPKVEMAQRSE   900
 901  ENVLALKSVEFTWPEFLGSNEVNVEDFWATMETEVIEQVAFPASIPITKF   950
 951  DASVIAPFFPPLMRGAVVVNTEKDKNLDVQPVPGSGSALVRLLQEGTCKL  1000
1001  DEIGSYSEEKLQHLLRQCGIPFGAEDSKDQLCFSLLALYESVQNGARAIR  1050
1051  PPRHFTGGKIYKVCPHQVVCGSKYLVRGESARDHVDLLASSRHWPPVYVV  1100
1101  DMATSVALCADLCYPELTNQMWGRNQGCFSSPTEPPVSVSCPELLDQHYT  1150
1151  VDMTETEHSIQHPVTKTATRRIVHAGLQPNPGDPSAGHHSLALCPELAPY  1200
1201  ATILASIVDSKPNGVRQRPIAFDNATHYYLYNRLMDFLTSREIVNRQIHD  1250
1251  IVQSCQPGEVVIRDTLYRLGVAQIKTETEEEGEEEEVAAVAE          1292

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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