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

NucPred

Fetching Q6ZU80 from www.uniprot.org...

The NucPred score for your sequence is 0.86 (see score help below)

   1  MAESSSESDHFRCRDRLSPWAARSTHRGTRSLPTVEVTEKVNTITSTLQD    50
51 TSRNLRQVDQMLGRYREYSNGQAGAIEHLKESLEQSIDQLRSQRLLRNSG 100
101 GRSISVTSLSASDLDGGTGSELHHFPPTSPLKDYGDPQGIKRMRSRTGVR 150
151 FVQETDDMTQLHGFHQSLRDLSSEQIRLGDDFNRELSRRSRSDAETKRAL 200
201 EELTEKLNEAQKQEVVSDRVERRLQELEREMRTERELVERRQDQLGLMSL 250
251 QLQEALKKQEAKADEHEGAIKNKLRQTETEKNQLEQELELSRRLLNQSEG 300
301 SRETLLHQVEELRTQLTKAEGDRKGLQHQVSQISKQQSNYQDEQGEDWRF 350
351 RRGVEREKQDLEKQMSDLRVQLNFSAMASELEEVKRCMERKDKEKAHLAS 400
401 QVENLTRELENGEKQQLQMLDRLKEIQNHFDTCEAERKHADLQISELTRH 450
451 AEDATKQAERYLSELQQSEALKEEAEKRREDLKLKAQESIRQWKLKHKKL 500
501 ERALEKQSETVDELTGKNNQILKEKDELKTQLYAALQQIENLRKELNDVL 550
551 TKRALQEEELHSKEEKLRDIKSHQADLELEVKNSLDTIHRLESELKKQSK 600
601 IQSQMKVEKAHLEEEIAELKKSQAQDKAKLLEMQESIKDLSAIRADLANK 650
651 LAEEERAKKAVLKDLSDLTAQAKSRDEETATIITQLKLERDVHQRELKDL 700
701 TSSLQSVKTKHEQNIQELMKHFKKEKSEAENHIRTLKAESLEEKNMAKIH 750
751 RGQLEKLKSQCDRLTEELTQNENENKKLKLKYQCLKDQLEEREKHISIEE 800
801 EHLRRMEEARLQLKDQLLCLETEQESILGVIGKEIDAACKTFSKDSVEKL 850
851 KVFSSGPDIHYDPHRWLAESKTKLQWLCEELKERENREKNLRHQLMLCRQ 900
901 QLRNLTENKESELQCLFQQIERQEQLLDEIHREKRDLLEETQRKDEEMGS 950
951 LQDRVIALETSTQVALDHLESVPEKLSLLEDFKDFRDSCSSSERTDGRYS 1000
1001 KYRVRRNSLQHHQDDTKYRTKSFKGDRTFLEGSHTRGLDHSSSWQDHSRF 1050
1051 LSSPRFSYVNSFTKRTVAPDSASNKEDATMNGTSSQPKKEEYGS 1094

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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