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

NucPred

Fetching Q9Z1Q9 from www.uniprot.org...

The NucPred score for your sequence is 0.33 (see score help below)

   1  MSILYVSPHPDAFPSLRALIAARYGEAGDGPGWGGPHPRICLQPPPSSRT    50
  51  PFPPPRLPALEQGPGGLWVWGAPAVAQLLWPAGLGGPGGSRAAVLVQQWV   100
 101  SYADTELIPAACGATLPALGLRGPGQDPQAALGALGKALNPLEDWLRLHT   150
 151  YLAGDAPTLADLAAVTALLLPFRYVLDPSARRIWGNVTRWFNTCVRQPEF   200
 201  RAVLGEVALYSGARSVTQQPGSEVIAPQKTPAQLKKEAKKREKLEKFQQK   250
 251  QKTQQQPPHGEKKPKPEKKEKRDPGVITYDLPTPPGEKKDVSGAMPDSYS   300
 301  PQYVEAAWYPWWERQGFFKPEYGRPSVSAPNPRGVFMMCIPPPNVTGSLH   350
 351  LGHALTNAIQDSLTRWHRMRGETTLWNPGCDHAGIATQVVVEKKLWKERG   400
 401  LNRHQLGREAFLEEVWKWKAEKGDRIYHQLKKLGSSLDWDRACFTMDPKL   450
 451  SATVTEAFVRLHEEGVIYRSTRLVNWSCTLNSAISDIEVDKKELTGRTLL   500
 501  PVPGYKEKVEFGVLVSFAYKVQGSDSDEEVVVATTRIETMLGDVAVAVHP   550
 551  KDPRYQHLKGKCVVHPFLSRSLPIVFDDFVDMEFGTGAVKITPAHDQNDY   600
 601  EVGQRHRLEAISIMDSKGALINVPPPFLGLPRFEARKAVLAALKERGLFR   650
 651  GVKDNPMVVPLCNRSKDVVEPLLRPQWYVRCGEMAQAASAAVTRGDLRIL   700
 701  PEAHQRTWHSWMDNIRDWCISRQLWWGHRIPAYFITVHDPAVPPGEDPDG   750
 751  RYWVSGRTEAEAREKAAREFGVSPDKISLQQDEDVLDTWFSSGLFPFSIF   800
 801  GWPNQSEDLSVFYPGTLLETGHDILFFWVARMVMLGLKLTGKLPFREVYL   850
 851  HAIVRDAHGRKMSKSLGNVIDPLDVIHGVSLQGLYDQLLNSNLDPSEVEK   900
 901  AKEGQKADFPAGIPECGTDALRFGLCAYTSQGRDINLDVNRILGYRHFCN   950
 951  KLWNATKFALRGLGKGFVPSATSKPEGHESLVDRWIRSRLTEAVRLSNEG  1000
1001  FQAYDFPAITTAQYSFWLYELCDVYLECLKPVLNGVDQVAAECARQTLYT  1050
1051  CLDVGLRLLSPFMPFVTEELFQRLPRRTPKAPASLCVTPYPEPSECSWKD  1100
1101  PEAEAALELALSITRAVRSLRADYNLTRTRPDCFLEVADEATGALASAVS  1150
1151  GYVQALASAGVVAVLALGAPAPQGCAVAVASDRCSIHLQLQGLVDPAREL  1200
1201  GKLQAKRSEAQRQAQRLQERRAASSYSAKVPLEVQEADEAKLQQTEAELR  1250
1251  KVDEAIALFQKML                                       1263

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.