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

NucPred

Fetching Q9QY30 from www.uniprot.org...

The NucPred score for your sequence is 0.22 (see score help below)

   1  MSDSVILRSVKKFGEENHAFESDGFHNNDKKSRLQDKKKGEGARVGFFEL    50
  51  FRFSSSKDNWLMFMGSVCALLHGMAQPGMIIVFGILTDIFVEYDIERQEL   100
 101  SIPEKVCMNNTIVWINSSFNQNMTNGTSCGLVDINSEVIKFSGIYAGVGV   150
 151  AVLILGYFQIRLWVITGARQIRKMRKFYFRRIMRMEIGWFDCTSVGELNS   200
 201  RFSDDINKIDEAIADQMALFLQRLSTALSGLLLGFYRGWKLTLVILAVSP   250
 251  LIGIGAAVIGLSVAKFTELELKAYAKAGSIADEVLSSIRTVAAFGGENKE   300
 301  VERYEKNLMFAQRWGIWKGMVMGFFTGYMWCLIFFCYALAFWYGSRLVLD   350
 351  EGEYTPGTLIQIFLCVIIAAMNIGNASSCLEIFSTGCSAASSIFQTIDRQ   400
 401  PVMDCMSGDGYKLDRIKGEIEFHNVTFHYPSRPEVKILNNLSMVIKPGET   450
 451  TAFVGSSGAGKSTALQLIQRFYDPCEGMVTLDGHDIRSLNIRWLRDQIGI   500
 501  VEQEPVLFSTTIAENIRLGREEATMEDIVQAAKDANAYNFIMALPQQFDT   550
 551  LVGEGGGQMSGGQKQRVAIARALIRKPKILLLDMATSALDNESEAKVQGA   600
 601  LNKIQHGHTIISVAHRLSTVRSADVIIGFEHGTAVERGTHEELLERKGVY   650
 651  FMLVTLQSQEDNTHKETGIKGKDTTEGDTPERTFSRGSYQDSLRASIRQR   700
 701  SKSQLSHLSHEPPLAIGDHKSSYEDRKDNDVLVEEVEPAPVRRILKYNIS   750
 751  EWPYILVGALCAAINGAVTPIYSLLFSQILKTFSLVDKEQQRSEIYSMCL   800
 801  FFVILGCVSLFTQFLQGYNFAKSGELLTKRLRKFGFKAMLRQDIGWFDDL   850
 851  KNNPGVLTTRLATDASQVQGATGSQVGMMVNSFTNIFVAVLIAFLFNWKL   900
 901  SLVISVFFPFLALSGAVQTKMLTGFASQDKEILEKAGQITNEALSNIRTV   950
 951  AGIGVEGRFIKAFEVELEKSYKTAIRKANVYGLCYAFSQGISFLANSAAY  1000
1001  RYGGYLIVYEDLNFSYVFRVVSSIAMSATAVGRTFSYTPSYAKAKISAAR  1050
1051  FFQLLDRKPPIDVYSGAGEKWDNFQGKIDFIDCKFTYPSRPDIQVLNGLS  1100
1101  VSVDPGQTLAFVGSSGCGKSTSIQLLERFYDPDQGTVMIDGHDSKKVNVQ  1150
1151  FLRSNIGIVSQEPVLFDCSIMDNIKYGDNTKEISVERAIAAAKQAQLHDF  1200
1201  VMSLPEKYETNVGIQGSQLSRGEKQRIAIARAIVRDPKILLLDEATSALD  1250
1251  TESEKTVQLALDKAREGRTCIVIAHRLSTIQNSDIIAVMSQGVVIEKGTH  1300
1301  KKLMDQKGAYYKLVITGAPIS                               1321

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.