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

NucPred

Fetching Q9Z315 from www.uniprot.org...

The NucPred score for your sequence is 0.95 (see score help below)

   1  MGSSKKHRGEKEAAGTTAAAGTGGTTEQPPRHREHKKHKHRSSGGGSSGG    50
  51  ERRKRSRERGSERGSGRRGAEAEARSGAHGRERSQAEPSERRVKREKRDD   100
 101  GYEAAASSKASSGDASSLSIEETNKLRAKLGLKPLEVNAVKKEAGTKEEP   150
 151  VAADVINPMALRQREELREKLAAAKEKRLLNQKLGKIKTLGEDDPWLDDT   200
 201  AAWIERSRQLQKEKDLAEKRAKLLEEMDQEFGVSTLVEEEFEQRRQDLYS   250
 251  ARDLQGLTVEHAIDSFREGETVVLTLKDKGVLQDGEDVLVNVNMVDKERA   300
 301  DKNVELRKKKPDYLPYAEDESVDDLAQQKPRSILAKYDEELEGERPHSFR   350
 351  LEQGGMADGLRERELEEIRTKLRLQAQSLSSVGPRLASEYLSPEEMVTFK   400
 401  KTKRRVKKIRKKEKEVIMRADDLLPLGDQTQDGDFGSRLRGRGRRRVPEV   450
 451  EEEALEDEEKDPVAQPPPSDDTRVENMDISDEEDGGALPPGSPEGLEEDE   500
 501  AELELQKQLEKGRRLRQLQQLQQLRDSGEKVLEIVKKLESRQRGWEEEED   550
 551  PERKGTIVFNATSEFCRTLGEIPTYGLAGNREEQEELMDFERDEERSANG   600
 601  GSESDGEENIGWSTVNLDEEKQHQDFSASSTTILDEEPIVNRGLAAALLL   650
 651  CQNKGLLETTVQKVARVKAPNKSLPSAVYCIEDKMAIDDKYSRREEYRGF   700
 701  TQDFKEKDGYKPDVKIEYVDETGRKLTPKEAFRQLSHRFHGKGSGKMKTE   750
 751  RRMKKLDEEALLKKMSSSDTPLGTVALLQEKQKAQKTPYIVLSGSGKSMN   800
 801  ANTITK                                               806

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.