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

NucPred

Fetching Q7Z494 from www.uniprot.org...

The NucPred score for your sequence is 0.84 (see score help below)

   1  MGTASSLVSPAGGEVIEDTYGAGGGEACEIPVEVKPKARLLRNSFRRGAG    50
  51  AAAGAGPGSLPRGVGAGGLLGASFKSTGSSVPELEYAAAEYERLRKEYEI   100
 101  FRVSKNQELLSMGRREAKLDTENKRLRAELQALQKTYQKILREKESALEA   150
 151  KYQAMERAATFEHDRDKVKRQFKIFRETKENEIQDLLRAKRELESKLQRL   200
 201  QAQGIQVFDPGESDSDDNCTDVTAAGTQCEYWTGGALGSEPSIGSMIQLQ   250
 251  QSFRGPEFAHSSIDVEGPFANVNRDDWDIAVASLLQVTPLFSHSLWSNTV   300
 301  RCYLIYTDETQPEMDLFLKDYSPKLKRMCETMGYFFHAVYFPIDVENQYL   350
 351  TVRKWEIEKSSLVILFIHLTLPSLLLEDCEEAFLKNPEGKPRLIFHRLED   400
 401  GKVSSDSVQQLIDQVSNLNKTSKAKIIDHSGDPAEGVYKTYICVEKIIKQ   450
 451  DILGFENTDLETKDLGSEDSIPEEDDFGDVLWDIHDEQEQMETFQQASNS   500
 501  AHELGFEKYYQRLNDLVAAPAPIPPLLVSGGPGSGKSLLLSKWIQLQQKN   550
 551  SPNTLILSHFVGRPMSTSSESSLIIKRLTLKLMQHSWSVSALTLDPAKLL   600
 601  EEFPRWLEKLSARHQGSIIIVIDSIDQVQQVEKHMKWLIDPLPVNVRVIV   650
 651  SVNVETCPPAWRLWPTLHLDPLSPKDAKSIIIAECHSVDIKLSKEQEKKL   700
 701  ERHCRSATTCNALYVTLFGKMIARAGRAGNLDKILHQCFQCQDTLSLYRL   750
 751  VLHSIRESMANDVDKELMKQILCLVNVSHNGVSESELMELYPEMSWTFLT   800
 801  SLIHSLYKMCLLTYGCGLLRFQHLQAWETVRLEYLEGPTVTSSYRQKLIN   850
 851  YFTLQLSQDRVTWRSADELPWLFQQQGSKQKLHDCLLNLFVSQNLYKRGH   900
 901  FAELLSYWQFVGKDKSAMATEYFDSLKQYEKNCEGEDNMSCLADLYETLG   950
 951  RFLKDLGLLSQAIVPLQRSLEIRETALDPDHPRVAQSLHQLASVYVQWKK  1000
1001  FGNAEQLYKQALEISENAYGADHPYTARELEALATLYQKQNKYEQAEHFR  1050
1051  KKSFKIHQKAIKKKGNLYGFALLRRRALQLEELTLGKDTPDNARTLNELG  1100
1101  VLYYLQNNLETADQFLKRSLEMRERVLGPDHPDCAQSLNNLAALCNEKKQ  1150
1151  YDKAEELYERALDIRRRALAPDHPSLAYTVKHLAILYKKMGKLDKAVPLY  1200
1201  ELAVEIRQKSFGPKHPSVATALVNLAVLYSQMKKHVEALPLYERALKIYE  1250
1251  DSLGRMHPRVGETLKNLAVLSYEGGDFEKAAELYKRAMEIKEAETSLLGG  1300
1301  KAPSRHSSSGDTFSLKTAHSPNVFLQQGQR                      1330

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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