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

NucPred

Fetching P16876 from www.uniprot.org...

The NucPred score for your sequence is 0.20 (see score help below)

   1  MISNPSETKVSNFDDFSVFDVTPDPDELARKHKKPNDHGSVSIKELYRYA    50
  51  GFIDYILLIGGIIGAMAAGVLQPMQMLVMGDMMDTFDTSSMQNMDFSNIS   100
 101  KAEQIEMNYELTASVADTINDLVLKMIYFAIGTTVGMFLMHFCFFVLSER   150
 151  QGIKIRMLYFRALLRQDAGWYDFHESGELTSRIASDVQQIQDGMSQKFGV   200
 201  LFQTICGFIAGYAIGFSKCWDLTLVIMAVTPFMLITVLFLGFFATKFTAK   250
 251  GENSLSDAGAIAEATIGNMRTVQSLGQEHEFADAYDKKMDSIKKYYILRA   300
 301  QVVGVGLGMLLFFMMGSLALGSWYGSLVIRGKGASKDCSAGTVMVVFMSV   350
 351  LMATMSIAQVAMPINALSTAQAAAYRIYQTIDRIPDIDCRSTAGLVPTEC   400
 401  IGNIKLEDVQFRYPTRPNKQILGGLDLEIKKGETVALVGASGCGKSTTIQ   450
 451  LVQRVYDPVGGKVTLDGNDLRELNLKWLRNQIGLVGQEPILFACTIRENI   500
 501  MLGAKDGETPTEEEMIECAKMANAHEFISHLPEGYDTMVGERGAALSGGQ   550
 551  KQRIAIARALIRKPTILLLDEATSALDTQSEKIVQQALEKASQGRTTIIV   600
 601  AHRLTTVRNANRICVFHQGEIIEQGTHQELMDLKATYYGLVKRQSMEEEV   650
 651  DQETVENDLKKFREQEDKEAEQGILHKEESSTLESSDVVERLTKEYEAET   700
 701  KYLKHSNRFVLLRVLLNNFRHEWLLSFLGLIGGIGAGAVFPFYMIQFIGL   750
 751  LMTLMGMSPDVEPTTEQLHTVRNKCIWILLFGLAVFVTTYMYLGLFLSAG   800
 801  EKMIVRLRKLLYSALLRQNISYYDRKENMVGKVTTRLASDPTTLKGISGE   850
 851  RVGNVVNTLSSVGFGVGIAFYYDWKVALCVMAIAPVLIVIVFLNGKLNSI   900
 901  QSSPATAAYEQSGITLVEAVESIKTVQSLTREDFFYNKFAADLKRPKKNI   950
 951  LRWGPTLAFVSAANTFVTSCISAYSFYIGTYLIKKKSDYNMEFLPFTAQF  1000
1001  MDSFTKMQKAMMSIMMAANSCGNLGQMIPDVGKAIEAAKNTFDVLDRKPS  1050
1051  IDCYSEEGETFNDVKGEIEFKDICFRYPTRPDNAVLKGISFKAEQGKTIA  1100
1101  LVGASGCGKSTSIQLIERFYDPTYGDVLLDGHNIKDLNIHFLRSQIGMVG  1150
1151  QEPVLFAESVIDNIRRGVPKGVEVSNEQIYAAAKMANAHDFISAMPEGYN  1200
1201  TMVGDRGAQISGGQKQRIAIARALIRNPKVLLLDEATSALDSESEKIVQD  1250
1251  ALDKAAKGRTTIVIAHRLSTIQNADQICVIMRGKIAERGTHQELIDLKGF  1300
1301  YYTLAMQQFGTV                                        1312

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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