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

NucPred

Fetching P06494 from www.uniprot.org...

The NucPred score for your sequence is 0.59 (see score help below)

   1  MELAAWCRWGFLLALLPPGIAGTQVCTGTDMKLRLPASPETHLDMLRHLY    50
  51  QGCQVVQGNLELTYVPANASLSFLQDIQEVQGYMLIAHNQVKRVPLQRLR   100
 101  IVRGTQLFEDKYALAVLDNRDPQDNVAASTPGRTPEGLRELQLRSLTEIL   150
 151  KGGVLIRGNPQLCYQDMVLWKDVFRKNNQLAPVDIDTNRSRACPPCAPAC   200
 201  KDNHCWGESPEDCQILTGTICTSGCARCKGRLPTDCCHEQCAAGCTGPKH   250
 251  SDCLACLHFNHSGICELHCPALVTYNTDTFESMHNPEGRYTFGASCVTTC   300
 301  PYNYLSTEVGSCTLVCPPNNQEVTAEDGTQRCEKCSKPCARVCYGLGMEH   350
 351  LRGARAITSDNVQEFDGCKKIFGSLAFLPESFDGDPSSGIAPLRPEQLQV   400
 401  FETLEEITGYLYISAWPDSLRDLSVFQNLRIIRGRILHDGAYSLTLQGLG   450
 451  IHSLGLRSLRELGSGLALIHRNAHLCFVHTVPWDQLFRNPHQALLHSGNR   500
 501  PEEDLCVSSGLVCNSLCAHGHCWGPGPTQCVNCSHFLRGQECVEECRVWK   550
 551  GLPREYVSDKRCLPCHPECQPQNSSETCFGSEADQCAACAHYKDSSSCVA   600
 601  RCPSGVKPDLSYMPIWKYPDEEGICQPCPINCTHSCVDLDERGCPAEQRA   650
 651  SPVTFIIATVVGVLLFLILVVVVGILIKRRRQKIRKYTMRRLLQETELVE   700
 701  PLTPSGAMPNQAQMRILKETELRKVKVLGSGAFGTVYKGIWIPDGENVKI   750
 751  PVAIKVLRENTSPKANKEILDEAYVMAGVGSPYVSRLLGICLTSTVQLVT   800
 801  QLMPYGCLLDHVREHRGRLGSQDLLNWCVQIAKGMSYLEDVRLVHRDLAA   850
 851  RNVLVKSPNHVKITDFGLARLLDIDETEYHADGGKVPIKWMALESILRRR   900
 901  FTHQSDVWSYGVTVWELMTFGAKPYDGIPAREIPDLLEKGERLPQPPICT   950
 951  IDVYMIMVKCWMIDSECRPRFRELVSEFSRMARDPQRFVVIQNEDLGPSS  1000
1001  PMDSTFYRSLLEDDDMGDLVDAEEYLVPQQGFFSPDPTPGTGSTAHRRHR  1050
1051  SSSTRSGGGELTLGLEPSEEGPPRSPLAPSEGAGSDVFDGDLAMGVTKGL  1100
1101  QSLSPHDLSPLQRYSEDPTLPLPPETDGYVAPLACSPQPEYVNQSEVQPQ  1150
1151  PPLTPEGPLPPVRPAGATLERPKTLSPGKNGVVKDVFAFGGAVENPEYLV  1200
1201  PREGTASPPHPSPAFSPAFDNLYYWDQNSSEQGPPPSNFEGTPTAENPEY  1250
1251  LGLDVPV                                             1257

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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