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

NucPred

Fetching P34152 from www.uniprot.org...

The NucPred score for your sequence is 0.60 (see score help below)

   1  MAAAYLDPNLNHTPSSSTKTHLGTGMERSPGAMERVLKVFHYFESSSEPT    50
  51  TWASIIRHGDATDVRGIIQKIVDSHKVKHVACYGFRLSHLRSEEVHWLHV   100
 101  DMGVSSVREKYELAHPPEEWKYELRIRYLPKGFLNQFTEDKPTLNFFYQQ   150
 151  VKSDYMQEIADQVDQEIALKLGCLEIRRSYWEMRGNALEKKSNYEVLEKD   200
 201  VGLKRFFPKSLLDSVKAKTLRKLIQQTFRQFANLNREESILKFFEILSPV   250
 251  YRFDKECFKCALGSSWIISVELAIGPEEGISYLTDKGCNPTHLADFNQVQ   300
 301  TIQYSNSEDKDRKGMLQLKIAGAPEPLTVTAPSLTIAENMADLIDGYCRL   350
 351  VNGATQSFIIRPQKEGERALPSIPKLANSEKQGMRTHAVSVSETDDYAEI   400
 401  IDEEDTYTMPSTRDYEIQRERIELGRCIGEGQFGDVHQGVYLSPENPALA   450
 451  VAIKTCKNCTSDSVREKFLQEALTMRQFDHPHIVKLIGVITENPVWIIME   500
 501  LCTLGELRSFLQVRKYSLDLASLILYAYQLSTALAYLESKRFVHRDIAAR   550
 551  NVLVSSNDCVKLGDFGLSRYMEDSTYYKASKGKLPIKWMAPESINFRRFT   600
 601  SASDVWMFGVCMWEILMHGVKPFQGVKNNDVIGRIENGERLPMPPNCPPT   650
 651  LYSLMTKCWAYDPSRRPRFTELKAQLSTILEEEKVQQEERMRMESRRQAT   700
 701  VSWDSGGSDEAPPKPSRPGYPSPRSSEGFYPSPQHMVQTNHYQVSGYPGS   750
 751  HGIPAMAGSIYQGQASLLDQTELWNHRPQEMSMWQPSVEDSAALDLRGMG   800
 801  QVLPPHLMEERLIRQQQEMEEDQRWLEKEERFLKPDVRLSRGSIDREDGS   850
 851  FQGPTGNQHIYQPVGKPDPAAPPKKPPRPGAPGHLSNLSSISSPADSYNE   900
 901  GVKLQPQEISPPPTANLDRSNDKVYENVTGLVKAVIEMSSKIQPAPPEEY   950
 951  VPMVKEVGLALRTLLATVDETIPALPASTHREIEMAQKLLNSDLGELISK  1000
1001  MKLAQQYVMTSLQQEYKKQMLTAAHALAVDAKNLLDVIDQARLKMLGQTR  1050
1051  PH                                                  1052

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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