 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P54679 from www.uniprot.org...
The NucPred score for your sequence is 0.35 (see score help below)
1 MDNNQIPKNSPESSAINSAESSPKSNVSSDVLHENHHKEQQQLQQQLQQE 50
51 QQQQQLPTTPQSEPTQRVNNNEEGIEMDRIAENSNINVPSDVGESSLKTI 100
101 SGYPSSKNTEAGSSSSGKKEEDYNYRSTWVPKLHQELFENPEVLESRRTK 150
151 QRASNYRKTLEREKEGIKPLDNILEELKANANGLTKAEAQKRLEEVGPNA 200
201 IPDVKRYPILEFLYFMWNPLSWTMEVAAIVSIALLDWVDFILICALLLLN 250
251 ATIGFIEENTAGNAVEALKNSLVSQIRCMRDGEWVMLPSPDLVPGDVVML 300
301 KIGAIIPADCRVIEAEQVKIDQSSLTGESLPVTKKIGDEVYSGSAMKQGE 350
351 AKCVVTATGVNTFFGRAANLVQETEGHGHLQVILRNIGLFCISFIAIWVL 400
401 VELLVDFLGYDGYCHGVGGGRCLPLNNALVLLVGGIPIAMPTVLSVTMAI 450
451 GATQLSKKKAIVSRLASIEELAAMDILCSDKTGTLTLNILTVDEPLPVGD 500
501 TPKEDIVFHAFLACSEGEDQDAIDKAISNYCRDTYPNVDYSGNEIVKHYP 550
551 FNPEDKKAMGLVNANGKQFKTAKGAPQIILREADNYKQVGEAVEKEIENL 600
601 ADRGYRALGVSVSYDAPDFKVWHFEGLIPLFDPPRHDTEDTIKRALEMGV 650
651 SVKMITGDQLAIAKETARRLGMGGNLFTIPYLENNDLGISEGEVIEMADG 700
701 FAEMWPEHKYKVVDQLQKRKHVVGMTGDGVNDAPALKKAQIGIAVAGATD 750
751 AARSVSDIVLTSSGLSVIIDAIISSRKIFQRMRNYVIYSVAATVRICTTF 800
801 GILTVAWNFKFPTIATVIIAILNDGTMLTISKDRVRARNEPDQWNLFEVF 850
851 TMALCYGFYLVGSTIVFFAIIHDGTWFHDAINLRILTDNELRGLIYLQVS 900
901 ISGLATIFVSRSQGFSYFERPGNLVIFAFVMSQIVATFIGVYGFRGYPHD 950
951 SFSDNPDYPVHGTNFQGCGWGWAVCAWIWCFLWYIPMDFIKLGVTYILRG 1000
1001 KIEPINKDALRKIYGWFGKEIPKEATQVSHKVAEQQAKRDALHAQETHHK 1050
1051 SVVTDNKV 1058
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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