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

NucPred

Fetching Q7TS63 from www.uniprot.org...

The NucPred score for your sequence is 0.93 (see score help below)

   1  METRTAENTAIFMCKCCNLFSPNQSELVTHVSEKHGEEGVNVDDVIIPLR    50
  51  PLNTPENPNPSKGGDEFLVMKRKRGRPKGSTKKPSTEEEVVENLVSPSED   100
 101  GPLATEEGSRLAPSSLECSKCCRKFSNTRQLRKHICIIVLNLGEEDGDAG   150
 151  NESDLDLEKTYKEDDREKASKRPRAQKTEKVQKISGKEAGQLSGAKKPII   200
 201  SVVLTAHEAIPGATKIIPVEAGPPETGAPPPETTAADLVPRRGYQEYAIQ   250
 251  QTPYEQPMKSSRLGPTQLKIFTCEYCNKVFKFKHSLQAHLRIHTNEKPYK   300
 301  CSQCSYASAIKANLNVHLRKHTGEKFACDYCSFTCLSKGHLKVHIERVHK   350
 351  KIKQHCRFCKKKYSDVKNLIKHIRDMHDPQDKKVKEALDELRLMTREGKR   400
 401  QLLYDCHICERKFKNELDRDRHMLVHGDKWPFACELCGHGATKYQALELH   450
 451  VRKHPFVYVCALCLKKFVSSIRLRSHIREVHGAAQETLVFTSSINQSFCL   500
 501  LEPGGDIQQEALGDQLQLAAEEFVCPEIDVRKEEACPGEAQPEVGLRELV   550
 551  VPGDAHAPPPGPLATPQSESSSLSPCKLETTVVSSDLNSLGVVSDDFLLK   600
 601  SDTSSAEPPAAAEATSDTQHRDSAQTQGEEVTLLLAKAKSAGPDPESSPG   650
 651  GRQKVGALPASESDSSTCLRANPTEASDLLPTVTDGGDLGVCQPDSCTPS   700
 701  SEHHPGSTAFMKVLDSLQKKQMNTSLCERIRKVYGDLECEYCGKLFWYQV   750
 751  HFDMHVRTHTREHLYYCSQCHYSSITKNCLKRHVIQKHSNILLKCPTDGC   800
 801  DYSTPDKYKLQAHLKVHTELDKRSYSCPVCEKSFSEDRLIKSHIKTNHPE   850
 851  VSMNTISEVLGRRVQLKGLIGKRAMKCPYCDFYFMKNGSDLQRHIWAHEG   900
 901  VKPFKCSLCEYATRSKSNLKAHMNRHSTEKTHLCDMCGKKFKSKGTLKSH   950
 951  KLLHTSDGKQFKCTVCDYTAAQKPQLLRHMEQHASFKPFRCAHCHYSCNI  1000
1001  SGSLKRHYNRKHPNEEYTNVGSGELAAEALIQQGGLKCPVCSFVYGTKWE  1050
1051  FNRHLKNKHGLKVVEIDGDPKWEPAAETPEEPSTQYLYITEAEDVQGTQA  1100
1101  AVAALQDLRYTSESGDRLDPTAVNILQQIIELGSETHDAAAVASVVAMAP  1150
1151  GTVTVVKQVTDEEPSSNHTVMIQETLQQASVELAEQHHLVVSSDDVEGIE  1200
1201  TVTVYTQGGEASEFIVYVQEAVQPVEEQVGEQPAPEL               1237

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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