 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q03650 from www.uniprot.org...
The NucPred score for your sequence is 0.06 (see score help below)
1 MGNEAGPIFEESNAEVGTPPADAVHDDFFFDYKNATGYADDCNITGDCNE 50
51 TDDCDITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETD 100
101 DCNITGDCNETDDCDITGDCNETDDCNITGDCNETDDCNITGDCNETDDC 150
151 NITGDCNETDDCDITGDCNETDDCNITGDCNETDDCDITGDCNETDDCNI 200
201 TGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITG 250
251 DCNETDDCNITGDCNETDDCDITGDCNETDDCNITGDCNETDDCNITGDC 300
301 NETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNE 350
351 TDDCDITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETD 400
401 DCNITGDCNETDDCNITGDCNETDDCDITGDCNETDDCNITGDCNETDDC 450
451 DITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNI 500
501 TGDCNETDDCNITGDCNETDDCNITGDCNETDDCDITGDCNETDDCNITG 550
551 DCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDC 600
601 NETDDCDITGDCNETDDCNITGDCNETDDCDITGDCNETDDCNITGDCNE 650
651 TDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETDDCNITGDCNETD 700
701 DCNITGDCNETDDCDITGDCNETDDCNITGDCNETDDCNITGDCNETDDC 750
751 NITGDCNETDDCNITGDCNETDDCNITGDCNETDDCDITGDCNETDDCNI 800
801 TGDCNETDDCDITGDCNETDDCNITGDCNETEVSDAADGTDGMFLKSSSS 850
851 LKLVALCDGCPTEDSPKSSNAKGKGSSVSAGLLLLAGSTFLVLAVGLSAV 900
901 LFLGRERQNAVVICDNEVMMEEVPGCLSDASFAVPVTQSSDEARP 945
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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