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

NucPred

Fetching Q58EX7 from www.uniprot.org...

The NucPred score for your sequence is 0.83 (see score help below)

   1  MERPLENGDESPDSQGHATDWRFAVCSFRDAWEEEEPASQMHVKDPGPPR    50
  51  PPAGATQDEELQGSPLSRKFQLPPAADESGDAQRGTVESSSVLSEGPGPS   100
 101  GVESLLCPMSSHLSLAQGESDTPGVGLVGDPGPSRAMPSGLSPGALDSDP   150
 151  VGLGDPLSEISKLLEAAPSGSGLPKPADCLLAQDLCWELLASGMATLPGT   200
 201  RDVQGRAVLLLCAHSPAWLQSECSSQELIRLLLYLRSIPRPEVQALGLTV   250
 251  LVDARICAPSSSLFSGLSQLQEAAPGAVYQVLLVGSTLLKEVPSGLQLEQ   300
 301  LPSQSLLTHIPTAGLPTSLGGGLPYCHQAWLDFRRRLEALLQNCQAACAL   350
 351  LQGAIESVKAVPQPMEPGEVGQLLQQTEVLMQQVLDSPWLAWLQCQGGRE   400
 401  LTWLKQEVPEVTLSPDYRTAMDKADELYDRVDGLLHQLTLQSNQRIQALE   450
 451  LVQTLEARESGLHQIEVWLQQVGWPALEEAGEPSLDMLLQAQGSFQELYQ   500
 501  VAQEQVRQGEKFLQPLTGWEAAELDPPGARFLALRAQLTEFSRALAQRCQ   550
 551  RLADAERLFQLFREALTWAEEGQRVLAELEQERPGVVLQQLQLHWTRHPD   600
 601  LPPAHFRKMWALATGLGSEAIRQECRWAWARCQDTWLALDQKLEASLKLP   650
 651  PVGSTASLCVSQVPAAPAHPPLRKAYSFDRNLGQSLSEPACHCHHAATIA   700
 701  ACRRPEAGGGALPQASPTVPPPGSSDPRSLNRLQLVLAEMVATEREYVRA   750
 751  LEYTMENYFPELDRPDVPQGLRGQRAHLFGNLEKLRDFHCHFFLRELEAC   800
 801  TRHPPRVAYAFLRHRVQFGMYALYSKNKPRSDALMSSYGHTFFKDKQQAL   850
 851  GDHLDLASYLLKPIQRMGKYALLLQELARACGGPTQELSALREAQSLVHF   900
 901  QLRHGNDLLAMDAIQGCDVNLKEQGQLVRQDEFVVRTGRHKSVRRIFLFE   950
 951  ELLLFSKPRHGPTGVDTFAYKRSFKMADLGLTECCGNSNLRFEIWFRRRK  1000
1001  ARDTFVLQASSLAIKQAWTADISHLLWRQAVHNKEVRMAEMVSMGVGNKA  1050
1051  FRDIAPSEEAINDRTVNYVLKCREVRSRASIAVAPFDHDSLYLGASNSLP  1100
1101  GDPASCSVLGSLNLHLYRDPALLGLRCPLYPSFPEEAALEAEAELGGQPS  1150
1151  LTAEDSEISSQCPSASGSSGSDSSCVSGQALGRGLEDLPCV           1191

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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