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

NucPred

Fetching P87136 from www.uniprot.org...

The NucPred score for your sequence is 0.94 (see score help below)

   1  MPTSGAPSNLDRANAQLSNTSSTESSSSNNSSTASGSRHVKIESNRVSLP    50
  51  PLKIQKGSFPAIRQPTESSTHFQSSHSVSNAHNQSPLNQSQSSANPVTFE   100
 101  IADEPSPSFNHSFFEKDNARDIPQQPSHSQNPSSSSSSSSSQSSQHSTHL   150
 151  QFQIPSNEKKSLDDPSPRRKPSFFSKSNLKRKYRYLKNPDAWNLPPSLQF   200
 201  IPKNLNRKGLKPVIRAAINSWIAFLLVLARHTNRVLGMSSFFVVITSILV   250
 251  PAMEPIAPMLWKTLFQFLLLFSAYAWTVLAAKLATVARGSPSREASLAQA   300
 301  VSEGFVCPDPSQGFNYCIREAVFQGYFVRPLPSIIWALFEFSAVALFIRL   350
 351  KMKYPPLNFPCVFSIICTAVSANMGPMYPYFYPRIGLFFIVPNCVQTGIT   400
 401  IGCTLFILPETCNHAYNTMLCKLTEDTSSFLKRQTEMLSHSPASSHWASF   450
 451  SSLENEIANLKNLLSKMKSTELFLDMEFSYGRLKGEDLVSIQRIFKKTIL   500
 501  RLSAFSYFQRLIDHNMQIYDDETIQKAGEATVSSWLNTPALSAASARTSS   550
 551  GRNSSESDRVSYFGLAPVNATTQDSERNGEEIRRLASKQLNVPVNNNFRT   600
 601  VGYASPSNASTASFNDIVQRGRSHVRTGSNNSEAPLAAKTSTTKRNGDLL   650
 651  EPQSPSLRSHKSRLHLPSSLGKFYKKRKKSYKPVGVLEAQQYLALESRLP   700
 701  FNKPQFLDSLLSILKNSSGDLFDQAIYSLDALNAWLVELNHDRIKKIFSK   750
 751  RDQKAAGRDRLKLIKLHYDHLSQALHEYEREKCFDVRKPYESLFQNQDVQ   800
 801  QFYMHSLRSLFVVYYYESHLMQAVRGILQILETVIDLEERRPIRRLWWPL   850
 851  RSIRRSLLSQLTGHQGDYDENIHNDVDKDMNQSSTQPRDPDADHPSSLYH   900
 901  ICGYRLTKFFKSIFRPMNVFVLKVGTLAVICTIPAFCRSSAGWYYRNRGL   950
 951  WAVILAIMSLQRFTADTVYGYLMRIFGTFFGAILGMVIWYTGSGHGLGNA  1000
1001  YGLAAVWGAAIPFIQFIRVHFVILTPMPAVIFCVTAALTVTYSWKSNHEP  1050
1051  GVVTLGIGWDVAYRRFLTVAAGITVAFIFSFLPQPRTAKYAVRKNIGNTL  1100
1101  IDIGSIHCEISNFARRPVHNHIDPDIQSKVLNLSNTIQSLIGRLNMVNFE  1150
1151  PSFKGRWPMEKYQLLCKTQLELVDLLNSLMTTITTLEDRWLFALLYRVGW  1200
1201  LDHKFVADQLAVLYMSSNALQTGNPLPQVVPSPLVDRFFTTSGDVFLPPG  1250
1251  LNDAPVPIPKAMEYELLNNMQYLNFAVGCTIAYAVVNHIDRIMFITKSLC  1300
1301  GEIFEIDKWPFHFDDEYLYTCHPTNSPDQRKSPHDLV               1337

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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