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

NucPred

Fetching Q9VN14 from www.uniprot.org...

The NucPred score for your sequence is 0.57 (see score help below)

   1  MLAKIGLLASILVLNLVGQITPQFSENLPDPDPQSGQQPQNYQPSYNKDY    50
  51  SPRYNPLYTGQQSADPNQFDNTLVDGQSPNTYKGYYDGRAGGGGLGGNVV   100
 101  GPGNNLGGLGPQYDPFNRNSIGSAGVSYRDAYTDEDNFCPEHWVSFRQTC   150
 151  YRFIRSPKRNWAEAKKICKAHNADLINVDNVEKHSFILKNLILQNQRQNR   200
 201  FFISARQTGPLNWVNDDNTQLVQIEDSFSMDEQVPLENEDLHDNRFLVQN   250
 251  DLNNQNINNPNQFYNSLPGTVNQRNQNNLRGFIGPNQPYGDNRYVRDRVV   300
 301  YAFSKKRDRWMFMPAYEIELNLFICESKVLYSSDNVNIKLDDKRPYHYGL   350
 351  DINDMERIPRGPYFVKQPNDTTFDVNKNRLINDVTLSCLANGYPTPSYTW   400
 401  YREVYVDDRLEYQKIDPLAQDRYTISGGNLIIYEPKQALDQGAYHCVAEN   450
 451  KFGRIRSESAHLNFGFIMEFNLKRSAETSEMNWGKSIFCDPPQHYPDVRY   500
 501  YWARDYFPNFVEEDQRVFVSRDGALYFSFIETVDRANYSCTVQTLVSDTG   550
 551  RNGPFFPLRVTPNSNYQALIFANTFPKVFPEAPVAGDEIRLECMAFGYPI   600
 601  PSYNWTRQGLPLQRNAYTINYGRVLIIQNATTNDNGEYSCTITNPRKTLM   650
 651  KSIYINIQMRPQFTIPLKDMIKDYNSDVTFICEAFAIPDANYTWYKNAER   700
 701  LDPANINRDRYIIQDNVLTIKFLEKDKDDAMYQCGAQNQLKTSFSSAQLR   750
 751  VLSMKPSFKKHPLESEVYAVYNGNTTIVCDPEAAPRPKFQWKKDGQVIGS   800
 801  GGHRRILPSGTLTISPTSRDDEGIYTCIASNQAGTDESHARVIVLQEIRF   850
 851  IETPPQRIVSKEHDLIFLHCEAAFDELLDIAYVWKHNGEVLKNNHDGTGR   900
 901  IIVDWNRLTVHNTSMRDAGDYECVVKSAVNEISSKTSVSIEGAPGAPGGV   950
 951  QVIQISKTKAIIEWVDGSHNGRAIRYYNILGRTNWNRTWVNVSTHVQARE  1000
1001  VDRYTSRQQAEVVNLTPWSAYEFSVTAVNDLGIGTPSAPSPIYSTYEDKP  1050
1051  YIAPRNVGGGGGKIGDLTITWDPLLPQEQHSHGIHYKVFWKLKGAIEWAS  1100
1101  DEIKKQDHMGVAVVNIPLNNYYTEYEVKVQAINSVGKGPESEIAVIHSAE  1150
1151  DMPQVAPQKPIALAYNSTCFNVTWQPIDMSRENIRGKLIGHRLKYWKTTH  1200
1201  QEEDSVYYLSRTTRNWALIVGLQPDTYYFVKVMAYNAAGEGPESERFEER  1250
1251  TYRKAPQKPPSSVHVYGINPSTVRVVWRYVSPSQDEEPVEGYKVRIWESD  1300
1301  QNMITANNTIVPIGQKLESYINNLTPGKSYNMRVLAYSNGGDGRMSSPTL  1350
1351  HFQMGKTTRNGANTRHGHNINTALILSTLLLISTFLYTSQ            1390

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.)

Go back to the NucPred Home Page.