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

NucPred

Fetching Q09931 from www.uniprot.org...

The NucPred score for your sequence is 0.79 (see score help below)

   1  MVEENETGTPGTSRTVTFHDGRKLTDAEHFVFFKVKEVIADKVAEAEILE    50
  51  SIRKRSECKPTDEQFISDIINELFYSGEPPKGRKSERFIGPLFDPEKAST   100
 101  ASGPMDCTDVVSYDSTHPNISEISKKEEVEMQSAIQQSLASSASQNISRP   150
 151  TMLMSNLEDMVRNPNFSTGLYNSGNTCWLNCLSQVLYSIPKFRSILYHCA   200
 201  PLSWHEQPITNVKIENQQHAELLMLFRGLFAELQFSEMKYIEVGPLINMV   250
 251  DKLSKSSKGPSTIGTQQDATEMLTLIFDWLQRAFDAALHAQLNPEFSNVS   300
 301  DEENLVISDSTTTAPNSDIIGAPPGYNAANLSLPSSSHVDPKSTLNPMYV   350
 351  NEKEPSSTPTSLFGTRSKTIEVNESMDTEAATSSNLPGNSVENHPNPAAP   400
 401  EVDDNKKAFCDKLKESFNNIFSSVCYTESVAEDGTVSVKSNVRNCPQFFQ   450
 451  LQVTYGNLHDALEAATFDHGLGNTASHVRNLYDPLPAVIFFGLSRFSFNS   500
 501  NIESKLHDKFTFPKIIFMDRYLKCNKEQLVQLRSHRELCRDSLSEVRAKL   550
 551  SGLRRYPQGNGEVRLEDSFQTVWQAVSNFREFVTFYLKVSQKTFFSREDA   600
 601  HENTAFVGPLTPSTYQSSSDNCSSKFVKDGGKLFPTFTEGFFPGKAAFIE   650
 651  TLQNMLEALKTEERDCLAEEARLQEVIDQTYEVPELQQHKYELHAIIVHS   700
 701  GEANRGHYWTYKLKKSIDGLEEWEKLNDQNADRVDWPKVESDSFGTGSRD   750
 751  APSAYMLMYVRSDAEWLVSADKLTALEAFETIPPDLQEKVLQKRDEFKEK   800
 801  LQRFRENKEFNYQQFSVDSPTVQSTEETPSSFSWYRDELEDIDIGDENAN   850
 851  PTKNDYLLNARLDSYSVPIAPDVETSEMKRMVSQMWNQITKIAPRKYTDS   900
 901  QDLLDSNLRSVMEGESGGINFINSRLGYDIHELRSDADNDVEGVYNAFIN   950
 951  EYLGLVKDLHELQNSKFVVFVGFQLQRIHVPVLRYLLVRAMAVSELGIIS  1000
1001  QRANNELSGMSSNSHDKGTAMLQIALLLSHFFELGVMSAWGCRSSLENIH  1050
1051  VILNDFKKKNSRGSEQIEVTYCAMIGARNARICNGLLREMAYFLESYSIF  1100
1101  FVSQKHIEACTVFSTITMIKLIMQHMASKTLQLIDMEFHLSKNERRVRFE  1150
1151  DIIREVVSSVCIIHHWSKSYSKEFQNEINLKELMGLLHLKVEFMVSLTSF  1200
1201  EVADPKYECLQAFKAMVVNTVMDLERASNELDYDVLDGAVELRELKKYFK  1250
1251  ELQLTDVKVNNIITSYDPIIESLVKI                          1276

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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