 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q3BAP8 from www.uniprot.org...
The NucPred score for your sequence is 0.51 (see score help below)
1 MLQNGNEGMSTIPGFSQIQFEGFCRFINQGLTEEFHKFQKIEDRDQEIEF 50
51 QLFVETYQLVEPLITERDAVYESLTYSSELYVPAVLIWKTGRNMQEQTVF 100
101 IGNIPIMNSFGTSIVNGIYRIVINQIVQSPGIYYRSELEHNGVSVYTSTI 150
151 ISDWGGRSELEIDRKARIWARVSRKQKISILVLSSAMGSNIREILDNVCY 200
201 PEIFLSFPNDKEKKKIGSKENAILEFYQQFACVGGDPVFSESLCKELQKK 250
251 FFQQRCELGKIGRQNLNRRLNLDIPQNNTFLLPRDLLAAVDHLIGMKLGM 300
301 GTLDDMSHLKNKRIRSVADLLQDQFGLALVRLENTVRGTICGAIRHKLIP 350
351 TPQNLVTSTSLTTTYESFFGLHPLSQVLDRTNPLTQIVHGRKWSYLGPGG 400
401 LTGRTASFRIRDIHPSHYGRICPIDTSEGINVGLMGSLAIHVKVGYWGSI 450
451 ESPFYGLSERSKEAQMVYLSPNRDEYYMVAAGNSLALNRDIQEQQVVPAR 500
501 YRQEFLTIAWEEIHLRSIFPFQYFSIGASLIPFIEHNDANRALMSSNMQR 550
551 QAVPLSRSEKCIVGTGLEGQTALDSGVSVIAECKGKIIYTDTQKIFLSSN 600
601 GDTLSIPLVMYQRSNKNTCMNQKTQVQRGKYIKKGQILAGGAATAGGELA 650
651 LGKNVLVAYMPWEGYNFEDAVLISERLVYKDIYTSFHIRKYEIQTHVTSQ 700
701 GPERITKEIPHLEARLLRNLDRNGIVMLGSWIETGDILVGKLTPQTASES 750
751 SYAPEDRLLRAILGIQVSTSKETSLRLPIGGRGRVIDVRWIHRRGVSNSN 800
801 PERIRVYISQKREIKVGDKVAGRHGNKGIISKILSRQDMPYLQDGTPVDM 850
851 VFNPLGVPSRMNVGQIFECSLGLAGDLLKKHYRIGPFDERYEQEASRKLV 900
901 FSELYEASKKTKNPWVFEPEYPGKSRIFDGRTGDLFEQPVLIGKSYILKL 950
951 IHQVDDKIHGRSSGHYALVTQQPLRGRAKQGGQRVGEMEVWALEGFGVAH 1000
1001 ILQEMLTYKSDHIRARQEVLGAMIIGATVPNPESAPESFRLLVRELRSLS 1050
1051 LELNHFLVSEKNFQMDRKEA 1070
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
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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