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

NucPred

Fetching Q9Z321 from www.uniprot.org...

The NucPred score for your sequence is 0.24 (see score help below)

   1  MKTVLMVAEKPSLAQSIAKILSRGNMSSHKGLNGACSVHKYTGTFAGQPV    50
  51  HFKMTSVCGHVMTLDFLGKYNKWDKVDPAELFSQAPTEKKEANPKLNMVK   100
 101  FLQVEGRGCDYVVLWLDCDKEGENICFEVLDAVLPVMNNAHNGEKTVFRA   150
 151  RFSSITDTDICNAMTRLSEPDHNEALSVDARQELDLRIGCAFTRFQTKYF   200
 201  QGKYGDLDSSLISFGPCQTPTLGFCVERHDKIQSFKPETYWVLQAKVHTD   250
 251  KEESLLLDWDRVRVFDWEIAQMFLNMTKLEKEAWVEATSRKEKAKQRPLA   300
 301  LNTVEMLRVASSALGMGPQHAMQIAERLYTQGYISYPRTETTHYPENFDL   350
 351  KGSLRQQANHPYWADSVKQLLAEGINRPRKGHDAGDHPPITPMKSATEAE   400
 401  LGGDAWRLYEYITRHFIATVSHDCKYLQSTISFRIGPEHFTCMGKTVISP   450
 451  GFTEIMPWQSVPLEESLPTCQKGDTFTVGEVKMLEKQTSPPDYLTEAELI   500
 501  TLMEKHGIGTDASIPVHINNICQRNYVTVESGRRLKPTNLGIVLVHGYYK   550
 551  IDAELVLPTIRSAVEKQLNLIAQGKADYHQVLGHTLDIFKRKFHYFVDSI   600
 601  AGMDELMEVSFSPLAATGKPLSRCGKCHRFMKYIQAKPSRLHCSHCDETY   650
 651  TLPQNGTIKLYKELRCPLDDFELVLWSSGSRGKSYPLCPYCYNHPPFRDM   700
 701  KKGMGCNECTHPTCQHSLSMLGIGQCVECENGVLVLDPTSGPKWKVACNT   750
 751  CNVVAHCFENAHRVRVSADTCNTCEAALLDVDFNKAKSPLPGNETQHTGC   800
 801  IFCDPVFQELVELKHAASCHPMHRGGPGRRQGRGRGRGRRPPGKPNPRRP   850
 851  KDKMSALAAYFV                                         862

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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