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

NucPred

Fetching Q8L778 from www.uniprot.org...

The NucPred score for your sequence is 0.39 (see score help below)

   1  MNTGGRLIAGSHNRNEFVLINADESARIRSVEELSGQTCQICGDEIELSV    50
51 DGESFVACNECAFPVCRPCYEYERREGNQSCPQCKTRYKRIKGSPRVEGD 100
101 EEDDGIDDLDFEFDYSRSGLESETFSRRNSEFDLASAPPGSQIPLLTYGE 150
151 EDVEISSDSHALIVSPSPGHIHRVHQPHFPDPAAHPRPMVPQKDLAVYGY 200
201 GSVAWKDRMEEWKRKQNEKYQVVKHDGDSSLGDGDDADIPMMDEGRQPLS 250
251 RKVPIKSSKINPYRMLIVLRLVILGLFFHYRILHPVNDAYALWLISVICE 300
301 IWFAVSWVLDQFPKWYPIERETYLDRLSLRYEKEGKPSELAGVDVFVSTV 350
351 DPMKEPPLITANTVLSILAVDYPVDRVACYVSDDGAAMLTFEALSETAEF 400
401 ARKWVPFCKKYTIEPRAPEWYFCHKMDYLKNKVHPAFVRERRAMKRDYEE 450
451 FKVKINALVATAQKVPEEGWTMQDGTPWPGNNVRDHPGMIQVFLGNNGVR 500
501 DVENNELPRLVYVSREKRPGFDHHKKAGAMNSLIRVSGVLSNAPYLLNVD 550
551 CDHYINNSKALREAMCFMMDPQSGKKICYVQFPQRFDGIDKSDRYSNRNV 600
601 VFFDINMKGLDGLQGPIYVGTGCVFRRQALYGFDAPKKKKTKRMTCNCWP 650
651 KWCLFCCGLRKNRKSKTTDKKKKNREASKQIHALENIEEGTKGTNDAAKS 700
701 PEAAQLKLEKKFGQSPVFVASAGMENGGLARNASPASLLREAIQVISCGY 750
751 EDKTEWGKEIGWIYGSVTEDILTGFKMHSHGWRSVYCTPKIPAFKGSAPI 800
801 NLSDRLHQVLRWALGSVEIFLSRHCPIWYGYGGGLKWLERLSYINSVVYP 850
851 WTSIPLLVYCSLPAICLLTGKFIVPEISNYASILFMALFGSIAVTGILEM 900
901 QWGKVGIDDWWRNEQFWVIGGVSAHLFALFQGLLKVLAGVETNFTVTSKA 950
951 ADDGEFSELYIFKWTSLLIPPTTLLIINVIGVIVGISDAISNGYDSWGPL 1000
1001 FGRLFFAFWVILHLYPFLKGLLGKQDRMPTIILVWSILLASILTLLWVRV 1050
1051 NPFVAKGGPILEICGLDCL 1069

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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