 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8VWF8 from www.uniprot.org...
The NucPred score for your sequence is 0.78 (see score help below)
1 MSSTKTPISLTIKLNQFTDKPTGLDINPYHNSPIMWRNIIKQLSSRTPQK 50
51 LLFSSKNRTYSFLGFGQDSIFKDNTKFRSLIPISCSNIVMGFQNLGEYLP 100
101 GDEFLSRPLIKNQVNNNFCCRKSYASVAEAVAVSSTDAEEDVSVVDEVHE 150
151 LLTELKKEEKKQFAFRRRKQRMLTSGMGHRKYQTLKRRQVKVETEAWEQA 200
201 AKEYKELLFDMCEQKLAPNLPYVKSLFLGWFEPLRDKIAEEQELCSQGKS 250
251 KAAYAKYFYQLPADMMAVITMHKLMGLLMTGGDHGTARVVQAALVIGDAI 300
301 EQEVRIHNFLEKTKKQKAEKDKQKEDGEHVTQEQEKLRKKVTNLMKKQKL 350
351 RAVGQIVRRQDDSKPWGQDARAKVGSRLIDLLLQTAYIQPPANQLAVDPP 400
401 DIRPAFVHSVRTVAKETKSASRRYGIIQCDELVFKGLERTARHMVIPYMP 450
451 MLVPPVKWTGYDKGGHLYLPSYVMRTHGARQQREAVKRASRNQLQPVFEA 500
501 LDTLGNTKWRINKRVLSVVDRIWAGGGRLADLVDRDDAPLPEEPDTEDEA 550
551 LRTKWRWKVKSVKKENRERHSQRCDIELKLAVARKMKDEESFFYPHNVDF 600
601 RGRAYPMHPHLNHLGSDICRGVLEFAEGRPLGESGLRWLKIHLANLFAGG 650
651 VEKLSLEGRIGFTENHMDDIFDSSDKPLEGRRWWLNAEDPFQCLAVCINL 700
701 SEAVRSSSPETSVSHIPVHQDGSCNGLQHYAALGRDKLGAAAVNLVAGEK 750
751 PADVYSGIAARVLDIMKRDAQRDPAEFPDAVRARVLVNQVDRKLVKQTVM 800
801 TSVYGVTYIGARDQIKRRLKERGAIADDSELFGAACYAAKVTLTALGEMF 850
851 EAARSIMTWLGECAKIIASENEPVRWTTPLGLPVVQPYRKIGRHLIKTSL 900
901 QILTLQRETEKVMVKRQRTAFPPNFIHSLDGSHMMMTAVACRRAGLNFAG 950
951 VHDSYWTHACDVDKLNRILREKFVELYEAPILEKLLESFQTSYPTLLFPP 1000
1001 LPERGDFDMRDVLESPYFFN 1020
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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