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

NucPred

Fetching P89105 from www.uniprot.org...

The NucPred score for your sequence is 0.96 (see score help below)

   1  MTNAMKVEGYPSMEWPTSLDIPLKASEELVGIDLETDLPDDPTDLKTLLV    50
51 EENSEKEHWLTIALAYCNHGKTNEGIKLIEMALDVFQNSERASLHTFLTW 100
101 AHLNLAKGQSLSVETKEHELTQAELNLKDAIGFDPTWIGNMLATVELYYQ 150
151 RGHYDKALETSDLFVKSIHAEDHRSGRQSKPNCLFLLLRAKLLYQKKNYM 200
201 ASLKIFQELLVINPVLQPDPRIGIGLCFWQLKDSKMAIKSWQRALQLNPK 250
251 NTSASILVLLGEFRESFTNSTNDKTFKEAFTKALSDLNNIFSENQHNPVL 300
301 LTLLQTYYYFKGDYQTVLDIYHHRILKMSPMIAKIVLSESSFWCGRAHYA 350
351 LGDYRKSFIMFQESLKKNEDNLLAKLGLGQTQIKNNLLEESIITFENLYK 400
401 TNESLQELNYILGMLYAGKAFDAKTAKNTSAKEQSNLNEKALKYLERYLK 450
451 LTLATKNQLVISRAYLVISQLYELQNQYKTSLDYLSKALEEMEFIKKEIP 500
501 LEVLNNLACYHFINGDFIKADDLFKQAKAKVSDKDESVNITLEYNIARTN 550
551 EKNDCEKSESIYSQVTSLHPAYIAARIRNLYLKFAQSKIEDSDMSTEMNK 600
601 LLDLNKSDLEIRSFYGWYLKNSKERKNNEKSTTHNKETLVKYNSHDAYAL 650
651 ISLANLYVTIARDGKKSRNPKEQEKSKHSYLKAIQLYQKVLQVDPFNIFA 700
701 AQGLAIIFAESKRLGPALEILRKVRDSLDNEDVQLNLAHCYLEMREYGKA 750
751 IENYELVLKKFDNEKTRPHILNLLGRAWYARAIKERSVNFYQKALENAKT 800
801 ALDLFVKESSKSKFIHSVKFNIALLHFQIAETLRRSNPKFRTVQQIKDSL 850
851 EGLKEGLELFRELNDLKEFNMIPKEELEQRIQLGETTMKSALERSLNEQE 900
901 EFEKEQSAKIDEARKILEENELKEQGWMKQEEEARRLKLEKQAEEYRKLQ 950
951 DEAQKLIQEREAMAISEHNVKDDSDLSDKDNEYDEEKPRQKRKRSTKTKN 1000
1001 SGESKRRKAAKKTLSDSDEDDDDVVKKPSHNKGKKSQLSNEFIEDSDEEE 1050
1051 AQMSGSEQNKNDDNDENNDNDDNDGLF 1077

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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