 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q941L0 from www.uniprot.org...
The NucPred score for your sequence is 0.27 (see score help below)
1 MESEGETAGKPMKNIVPQTCQICSDNVGKTVDGDRFVACDICSFPVCRPC 50
51 YEYERKDGNQSCPQCKTRYKRLKGSPAIPGDKDEDGLADEGTVEFNYPQK 100
101 EKISERMLGWHLTRGKGEEMGEPQYDKEVSHNHLPRLTSRQDTSGEFSAA 150
151 SPERLSVSSTIAGGKRLPYSSDVNQSPNRRIVDPVGLGNVAWKERVDGWK 200
201 MKQEKNTGPVSTQAASERGGVDIDASTDILADEALLNDEARQPLSRKVSI 250
251 PSSRINPYRMVIMLRLVILCLFLHYRITNPVPNAFALWLVSVICEIWFAL 300
301 SWILDQFPKWFPVNRETYLDRLALRYDREGEPSQLAAVDIFVSTVDPLKE 350
351 PPLVTANTVLSILAVDYPVDKVSCYVSDDGAAMLSFESLAETSEFARKWV 400
401 PFCKKYSIEPRAPEWYFAAKIDYLKDKVQTSFVKDRRAMKREYEEFKIRI 450
451 NALVSKALKCPEEGWVMQDGTPWPGNNTRDHPGMIQVFLGQNGGLDAEGN 500
501 ELPRLVYVSREKRPGFQHHKKAGAMNALVRVSAVLTNGPFILNLDCDHYI 550
551 NNSKALREAMCFLMDPNLGKQVCYVQFPQRFDGIDKNDRYANRNTVFFDI 600
601 NLRGLDGIQGPVYVGTGCVFNRTALYGYEPPIKVKHKKPSLLSKLCGGSR 650
651 KKNSKAKKESDKKKSGRHTDSTVPVFNLDDIEEGVEGAGFDDEKALLMSQ 700
701 MSLEKRFGQSAVFVASTLMENGGVPPSATPENLLKEAIHVISCGYEDKSD 750
751 WGMEIGWIYGSVTEDILTGFKMHARGWRSIYCMPKLPAFKGSAPINLSDR 800
801 LNQVLRWALGSVEILFSRHCPIWYGYNGRLKFLERFAYVNTTIYPITSIP 850
851 LLMYCTLPAVCLFTNQFIIPQISNIASIWFLSLFLSIFATGILEMRWSGV 900
901 GIDEWWRNEQFWVIGGVSAHLFAVFQGILKVLAGIDTNFTVTSKASDEDG 950
951 DFAELYLFKWTTLLIPPTTLLIVNLVGVVAGVSYAINSGYQSWGPLFGKL 1000
1001 FFAFWVIVHLYPFLKGLMGRQNRTPTIVVVWSVLLASIFSLLWVRIDPFT 1050
1051 SRVTGPDILECGINC 1065
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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