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

NucPred

Fetching O55112 from www.uniprot.org...

The NucPred score for your sequence is 0.96 (see score help below)

   1  MDLFDFFRDWDLEQQCHYEQDRSALKKREWERRNQEVQQEEDLFSSGFDL    50
  51  FGEPYKVAEYTNKGDALANRVQNTLGSYDEMKDLLSNHSSQNHLVGIPKN   100
 101  SAPQTPISKSEASFYPEQKNRMIPSHQETTHSSTPMPPPSVVILNSTLIH   150
 151  SNRKSKSEWPRDSHNTSPAQASQTSSQPNKMQTSTQDPPQTRLEDFFVYP   200
 201  AEQPQIGTVEKSNPSSKEENNPNSGGEDTFKEIFQSNSPEESEFTVQAPG   250
 251  SPLVASSLLAPSSGLSVPTFPPGLYCKTSMGQQKPTAYVRPMDGQDQATD   300
 301  ISPTLKPSIEFENSFGNLSFGSLLDGKPSAVSSKTKLPKFTILQTSEVSL   350
 351  TSDPSCVEEILRESQHLTPGFTLQKWSDPSSRASTKMLEDDLKLSSDEDD   400
 401  LEPVKTLTTQCTANELYQAVEKAKPKNNPVNPLLATPQSTPATQTNVGSG   450
 451  SSSESESSSESDSDTESSTTDSESNEAPRVATPEPEPPSTNKWQLDKWLN   500
 501  KVTSQNKSFICGQNETPTETISLPPPIIQPVEVQVKVKPNPSQAVAVPKE   550
 551  RPLLSLIREKARPRPTQKTPETKALKHKLSTSVDTVSQRTIGKKQPKKVE   600
 601  KNTSFEEFTWPKPNITNSTPKEKGSVELPDPPRSRNKATAHKPVPRKEPR   650
 651  PHVPLATEKKKYRGPGKIVPKSREFIETDSSTSDSNTDQEETLQIKVLPP   700
 701  CITSKSKETSNASLTLSTLTNGNSNNLSTSNEETAFSPPPAMQTELLSPL   750
 751  RDHENPKNLWVKIDLDLLSRVPGQNSVPVTPAKTDYKETASKPKRQTAAT   800
 801  AVEKPAPKGKRKHKPAETAEKIPEKKQRLEDNTTICLLPPCISPAPPHKP   850
 851  PSTRENSSRRANRKKEEKLFPPALSPLAEDPPRRRNVSGNNGHFGQDKNI   900
 901  SMAGQITSSKPKRSEGKFCATFKGISINEGDAPKKAASATVTVANMALAT   950
 951  ATATATVPAIVTATVTATATTTATATTTTTTTTISSITPTITSGLMDSSH  1000
1001  LEMTSWAALPLLSSSSANVRRPKLTFDDSVHNADFYMQEAKKLKHKADAL  1050
1051  FEKFGKAVNYADAALSFTECGNAMERDPLEAKSPYTMYSETVELLRYAMR  1100
1101  LKNFASPLASDGDKKLAVLCYRCLSLLYLRMFKLKKDHAMKYSRSLMEYF  1150
1151  KQNASKVTQIPSPWVGNGKNTPSPVSLNNVSPINSVGNCNNGPVTIPQRI  1200
1201  HHMAASHVNITSNVLRGYEHWDMADKLTRDNKEFFGDLDTLMGPLTQHSS  1250
1251  MTNLVRYVRQGLCWLRIDAHLL                              1272

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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