 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q9SYI0 from www.uniprot.org...
The NucPred score for your sequence is 0.56 (see score help below)
1 MVSPLCDSQLLYHRPSISPTASQFVIADGIILRQNRLLSSSSFWGTKFGN 50
51 TVKLGVSGCSSCSRKRSTSVNASLGGLLSGIFKGSDNGESTRQQYASIVA 100
101 SVNRLETEISALSDSELRERTDALKQRAQKGESMDSLLPEAFAVVREASK 150
151 RVLGLRPFDVQLIGGMVLHKGEIAEMRTGEGKTLVAILPAYLNALSGKGV 200
201 HVVTVNDYLARRDCEWVGQVPRFLGLKVGLIQQNMTPEQRKENYLCDITY 250
251 VTNSELGFDYLRDNLATSVEELVLRDFNYCVIDEVDSILIDEARTPLIIS 300
301 GPAEKPSDQYYKAAKIASAFERDIHYTVDEKQKTVLLTEQGYEDAEEILD 350
351 VKDLYDPREQWASYVLNAIKAKELFLRDVNYIIRAKEVLIVDEFTGRVMQ 400
401 GRRWSDGLHQAVEAKEGLPIQNESITLASISYQNFFLQFPKLCGMTGTAS 450
451 TESAEFESIYKLKVTIVPTNKPMIRKDESDVVFKAVNGKWRAVVVEISRM 500
501 HKTGRAVLVGTTSVEQSDELSQLLREAGITHEVLNAKPENVEREAEIVAQ 550
551 SGRLGAVTIATNMAGRGTDIILGGNAEFMARLKLREILMPRVVKPTDGVF 600
601 VSVKKAPPKRTWKVNEKLFPCKLSNEKAKLAEEAVQSAVEAWGQKSLTEL 650
651 EAEERLSYSCEKGPVQDEVIGKLRTAFLAIAKEYKGYTDEERKKVVEAGG 700
701 LHVVGTERHESRRIDNQLRGRSGRQGDPGSSRFFLSLEDNIFRIFGGDRI 750
751 QGMMRAFRVEDLPIESKMLTKALDEAQRKVENYFFDIRKQLFEFDEVLNS 800
801 QRDRVYTERRRALVSDSLEPLIIEYAELTMDDILEANIGPDTPKESWDFE 850
851 KLIAKVQQYCYLLNDLTPDLLKSEGSSYEGLQDYLRARGRDAYLQKREIV 900
901 EKQSPGLMKDAERFLILSNIDRLWKEHLQALKFVQQAVGLRGYAQRDPLI 950
951 EYKLEGYNLFLEMMAQIRRNVIYSIYQFQPVRVKKDEEKKSQNGKPSKQV 1000
1001 DNASEKPKQVGVTDEPSSIASA 1022
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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