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

NucPred

Fetching Q9NWF9 from www.uniprot.org...

The NucPred score for your sequence is 0.98 (see score help below)

   1  MEEGNNNEEVIHLNNFHCHRGQEWINLRDGPITISDSSDEERIPMLVTPA    50
  51  PQQHEEEDLDDDVILTEDDSEDDYGEFLDLGPPGISEFTKPSGQTEREPK   100
 101  PGPSHNQAANDIVNPRSEQKVIILEEGSLLYTESDPLETQNQSSEDSETE   150
 151  LLSNLGESAALADDQAIEEDCWLDHPYFQSLNQQPREITNQVVPQERQPE   200
 201  AELGRLLFQHEFPGPAFPRPEPQQGGISGPSSPQPAHPLGEFEDQQLASD   250
 251  DEEPGPAFPMQESQEPNLENIWGQEAAEVDQELVELLVKETEARFPDVAN   300
 301  GFIEEIIHFKNYYDLNVLCNFLLENPDYPKREDRIIINPSSSLLASQDET   350
 351  KLPKIDFFDYSKLTPLDQRCFIQAADLLMADFKVLSSQDIKWALHELKGH   400
 401  YAITRKALSDAIKKWQELSPETSGKRKKRKQMNQYSYIDFKFEQGDIKIE   450
 451  KRMFFLENKRRHCRSYDRRALLPAVQQEQEFYEQKIKEMAEHEDFLLALQ   500
 501  MNEEQYQKDGQLIECRCCYGEFPFEELTQCADAHLFCKECLIRYAQEAVF   550
 551  GSGKLELSCMEGSCTCSFPTSELEKVLPQTILYKYYERKAEEEVAAAYAD   600
 601  ELVRCPSCSFPALLDSDVKRFSCPNPHCRKETCRKCQGLWKEHNGLTCEE   650
 651  LAEKDDIKYRTSIEEKMTAARIRKCHKCGTGLIKSEGCNRMSCRCGAQMC   700
 701  YLCRVSINGYDHFCQHPRSPGAPCQECSRCSLWTDPTEDDEKLIEEIQKE   750
 751  AEEEQKRKNGENTFKRIGPPLEKPVEKVQRVEALPRPVPQNLPQPQMPPY   800
 801  AFAHPPFPLPPVRPVFNNFPLNMGPIPAPYVPPLPNVRVNYDFGPIHMPL   850
 851  EHNLPMHFGPQPRHRF                                     866

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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