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

NucPred

Fetching P56720 from www.uniprot.org...

The NucPred score for your sequence is 0.65 (see score help below)

   1  MDELPFGEAALEQALAEVCEMDAALLTDIEDMLQLINNQDSDFPGLFDAP    50
  51  YAGGETGDTGPSSPGASSPESFSSPASLGSSLEAFLGGPKVTPAPLSPPP   100
 101  SAPTAVKMYPSVPPFSPGPGIKEEPVPLTILQPPAPQPSPGTLLPPSFPP   150
 151  PPVQLSPAPVLGYSSLPSGFSGTLPGNTQQTPSSLPLGSTPGISPTPLHT   200
 201  QVQSSAAQQPPPASAAPRMSTVASQIQQVPVVLQPHFIKADSLLLTAVKT   250
 251  DTGATMKTAGINTLAPGTAVQAGPLQTLVSGGTILATVPLVVDTDKLPIH   300
 301  RLAAGGKALGSAQSRGEKRTAHNAIEKRYRSSINDKIVELKDLVVGTEAK   350
 351  LNKSAVLRKAIDYIRFLQHSNQKLKQENLTLRSAHKSKSLKDLVSACGSG   400
 401  GGTDVSMEGMKPEVVETLTPPPSDAGSPSQSSPLSLGSRGSSSGGSDSEP   450
 451  DSPAFEDNQVKAQRLPSHSRGMLDRSRLALCVLVFLCLTCNPLASLFGWG   500
 501  ILTPSDASGVHRSSGRSMLEAESRDGSNWTQWLLPPLVWLANGLLVLACL   550
 551  ALLFVYGEPVTRPHSGPAVHFWRHRKQADLDLARGDFAQAAQQLWLALQA   600
 601  LGRPLPTSNLDLACSLLWNLVRHLLQRLWVGRWLAGQAGGLQRDYRLRKD   650
 651  ARASARDAAVVYHKLHQLHAMGKYTGGHLVASNLALSALNLAECAGDAIS   700
 701  MATLAEIYVAAALRVKTSLPRALHFLTRFFLSSARQACLAQSGAVPLAMQ   750
 751  WLCHPVGHRFFVDGDWAVHGAPQESLYSVAGNPVDPLAQVTRLFCEHLLE   800
 801  RALNCIAQPSPGAADGDREFSDALGYLQLLNSCSDAVGAPACSFSVSSSM   850
 851  ATTTGTDPVAKWWASLTAVVIHWLRRDEEAAERLYPLVEHIPQVLQETER   900
 901  PLPRAALYSFKAARALLDHRKVESSPASLAICEKASGYLRDSLASTSTAS   950
 951  SIDKAMQLLLCDLLLVARTSLWRRQQSAASAQGAHGTSNGPQASALELRG  1000
1001  FQHDLSSLRRLAQSFRPAMRRVFLHEATARLMAGASPARTHQLLDRSLRR  1050
1051  RAGSSGKGGAAAELEPRPTWREHTEALLLASCYLPPAFLSAPGQRVSMLA  1100
1101  EAARTVEKLGDHRLLLDCQQMLLRLGGGTTVTSS                  1134

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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