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

NucPred

Fetching Q9D2D7 from www.uniprot.org...

The NucPred score for your sequence is 0.81 (see score help below)

   1  MGDMKTPDFDDLLAAFDIPDIDANEAIHSGPEENEGPGGQGKPEPSVGGD    50
  51  SKDREEAAAAENDPESPAEASDHGLPQPPDTSTVSVIVKNTVCPEQSESL   100
 101  TGDSGEEETKAGGITKEGPVGSCLMQNGFGGPEPSLSENPHSSAHASGNA   150
 151  WKDKAVEGKTCLDLFAHFGSEPGDHPDPLPPEPSQPRGGDMAPPPFSTPF   200
 201  ELAPENGSTLLPPASLLPQGALKQESCSPHHSQGLTQRGPGSSPETAGIP   250
 251  ASVSPPQVAGVSFKQSPGHQSPPASPVKAPSCKPLKEEDEGTVDKSPPRS   300
 301  PQSPSSGAEAADEDSNDSPTSSSSSRPLKVRIKTIKTSCGNITRTVTRVP   350
 351  SEPDPPAPLAEGAFLAETSFLKLSPVTPTPEGPKVVSVQLGDGTRLKGTV   400
 401  LPVATIQNASTAMLMAASVARKAVVLPGGNATSPKTMTKSVLGLVPQTLP   450
 451  KAEVRTGFSLGGQKVNGASVVMVQPSKSATGPGTAGGSVISRTQSSLVEA   500
 501  FNKILNSKNLLPAYRPNLSPPAEAGLALPPTGYRCLECGDAFSLEKSLAR   550
 551  HYDRRSMRIEVTCNHCARRLVFFNKCSLLLHAREHKDKGLVMQCSHLVMR   600
 601  PVALDQMVGQPDITPLLPVAVPPVPGPLALPVLGKGEGAVTSSTITTVAT   650
 651  EAPVLPLPTEPPAPPTASVYTCFRCLECKEQCRDKAGMAAHFQQLGPPAL   700
 701  GSTSNVCPSCPMMLPNRCSFSAHQRTHKNRAPHVCPECGGNFLQANFQTH   750
 751  LREACLHFSRRVGYRCPSCAVVFGGVNSIKSHIQASHCEVFHKCPICPMA   800
 801  FKSAPSAHAHLYSQHPSFLTQQAKLIYKCAMCDTVFTHKPLLSSHFDQHL   850
 851  LPQRVSVFKCPSCPLLFAQKRTMLEHLKNTHQSGRVGEEAVGKGAGGALL   900
 901  TPKTEPEELAVSQAEAAPATEESSSSSEEELPSSPEPPRPTKRARRGELG   950
 951  NKGIKGGGGGPGGWTCGLCHSWCPERDEYVTHMKKEHGKSVKKFPCRLCE  1000
1001  RSFCSAPSLRRHVRVNHEGIKRVYPCRYCTEGKRTFSSRLILEKHVQVRH  1050
1051  GLPLGTQSSGRGGSLARGSGGRAQGPGRKRRQSSDSCSEEPDSTTPPAKS  1100
1101  LRGGPGSGGHGPLRYRSSGSAEQSLVGLRVDGGTQQCLDCGLCFASPGSL  1150
1151  SRHRFISHKKRRAGGKASVLGLGDGEEAAPPLRSDPEGGDSPLPAPGDPL  1200
1201  TCKVCGKSCDSPLNLKTHFRTHGMAFIRARQGGSGDN               1237

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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