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

NucPred

Fetching Q9JLS3 from www.uniprot.org...

The NucPred score for your sequence is 0.94 (see score help below)

   1  MPAGGRAGSLKDPDVAELFFKDDPEKLFSDLREIGHGSFGAVYFARDVRN    50
  51  SEVVAIKKMSYSGKQSNEKWQDIIKEVRFLQKLRHPNTIQYRGCYLREHT   100
 101  AWLVMEYCLGSASDLLEVHKKPLQEVEIAAVTHGALQGLAYLHSHNMIHR   150
 151  DVKAGNILLSEPGLVKLGDFGSASIMAPANSFVGTPYWMAPEVILAMDEG   200
 201  QYDGKVDVWSLGITCIELAERKPPLFNMNAMSALYHIAQNESPALQSGHW   250
 251  SEYFRNFVDSCLQKIPQDRPTSEVLLKHRFVLRERPPTVIMDLIQRTKDA   300
 301  VRELDNLQYRKMKKILFQEAPNGPGAEAPEEEEEAEPYMHRAGTLTSLES   350
 351  SHSVPSMSISASSQSSSVNSLADASDNEEEEEEEEEEEEEEEEEGPESRE   400
 401  MAMMQEGEHTVTSHSSIIHRLPGSDNLYDDPYQPEMTPGPLQPPAAPPTS   450
 451  TSSSSARRRAYCRNRDHFATIRTASLVSRQIQEHEQDSALREQLSGYKRM   500
 501  RRQHQKQLLALESRLRGEREEHSGRLQRELEAQRAGFGTEAEKLARRHQA   550
 551  IGEKEARAAQAEERKFQQHILGQQKKELAALLEAQKRTYKLRKEQLKEEL   600
 601  QENPSTPKREKAEWLLRQKEQLQQCQAEEEAGLLRRQRQYFELQCRQYKR   650
 651  KMLLARHSLDQDLLREDLNKKQTQKDLECALLLRQHEATRELELRQLQAV   700
 701  QRTRAELTRLQHQTELGNQLEYNKRREQELRQKHAAQVRQQPKSLKVRAG   750
 751  QLPMGLPATGALGPLSTGTLSEEQPCSSGQEAILGQRMLGEEEEAVPERM   800
 801  ILGKEGTTLEPEEQRILGEEMGTFSSSPQKHRSLVNEEDWDISKEMKESR   850
 851  VPSLASQERNIIGQEEAGAWNLWEKEHGNLVDMEFKLGWVQGPVLTPVPE   900
 901  EEEEEEEEGGAPIGTPRDPGDGCPSPDIPPEPPPSHLRQYPASQLPGFLS   950
 951  HGLLTGLSFAVGSSSGLLPLLLLLLLPLLAAQGGGGLQAALLALEVGLVG  1000
1001  LGASYLFLCTALHLPPSLFLLLAQGTALGAVLSLSWRRGLMGVPLGLGAA  1050
1051  WLLAWPSLALPLAAMAAGGKWVRQQGPQMRRGISRLWLRVLLRLSPMVFR  1100
1101  ALQGCAAVGDRGLFALYPKTNKNGFRSRLPVPWPRQGNPRTTQHPLALLA  1150
1151  RVWALCKGWNWRLARASHRLASCLPPWAVHILASWGLLKGERPSRIPRLL  1200
1201  PRSQRRLGLSASRQLPPGTVAGRRSQTRRALPPWR                 1235

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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