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

NucPred

Fetching O96651 from www.uniprot.org...

The NucPred score for your sequence is 0.15 (see score help below)

   1  MKSVLMVAEKPSLAASLAGILSNGRCTAKRGTGNGCSTHEWTGNFRNEGS    50
  51  VHFRMTSVCGHVMSLDFNKKYNCWDKVDPIQLFGCATEKKETNPKQNMRK   100
 101  FLAHEARGCDYLVLWLDCDKEGENICFEVMDAVKHVINNVYSDQVTYRAH   150
 151  FSAITEKDIKKAMETLGHPNENEAKSVDARQELDLRIGCAFTRFQTKFFQ   200
 201  DRYGDLDSSLISYGPCQTPTLGFCVKRHDDIQTFKPESFWHLQLLAGQPE   250
 251  VTLEWARGRVFKKDIAIMLLNRVKEHKKATVESVASKEAYKSKPQALNTV   300
 301  ELMRICSSGLGIGPFQAMQIAERLYTQGYISYPRTETNQYPTNFDLPAVL   350
 351  HVLKPSADFGEEARSILGDIQTPRKGKDAGDHPPITPMKLGNRSDFDRDT   400
 401  WRVYEFICRHFMGTVSRDLKYRVTTAKLSVGMETFSCTASVLIDAGFTKV   450
 451  MTWSAFGKDEPQPPFVQGTQVAINDVRLIESQTGPPDYLTESELITLMEE   500
 501  HGIGTDASIPVHINNICQRNYVHIENGRKLMPTTLGIVLVHGYQKIDPEL   550
 551  VLPTMRTEVERMLTLIAQGSANFQDVLRHAIKIFKLKFMYFVKNIDSMDA   600
 601  LFEVSFSPLAESGKAHSRCGKCRRYMKYIQTKPARLHCSHCDETYALPIG   650
 651  NVKVYREFKCPLDDFDLLAFSTGVKGRSYPFCPYCYNHPPFSDMPHLGGC   700
 701  NTCTNANCPHSLNTLGISSCVECPTGVLVLDCTLAPTWKLGCNRCDVIIN   750
 751  CFKGATKITVEEAKCQECGAQQVNVVYKSDKSKFKDGSEEKSGCIFCSAD   800
 801  FSHLVEKHRAVASRPVRSGGGFRGGKAGRGGGGMGGAAFGSGGAVTAGGG   850
 851  PNAGGGVRGSRVAKDKMGQLASYFV                            875

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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