 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8BLI4 from www.uniprot.org...
The NucPred score for your sequence is 0.41 (see score help below)
1 MRTHTRGAPSVFFICLLCCVSAFITDENPEVMIPFTNANYDSHPMLYFSR 50
51 KDVAELQLRAASSHEHIAARLTEAVHTMLTNPLEYLPPWDPKEYSARWNE 100
101 IYGNNLGALAMFCVLYPENTEARDMAKDYMERMAAQPSWLVKDAPWDEVP 150
151 LAHSLVGFATAYDFLYNYLSKTQQETFLEVIANASGYMYETSYRRGWGFQ 200
201 YLHNHQPTNCMALLTGSLILMNQGYLQEAYLWTKQVLSIMEKSLVLLREV 250
251 TDGSLYEGVAYGSYTTRSLFQYMFLVQRHFDINHFGHPWLKQHFAFMYRT 300
301 ILPGFQRTVAIADSNYNWFYGPESQLVFLDKFVMRNGSGNWLADQIRRNR 350
351 VVEGPGTPSKGQRWCTLHTEFLWYDASLKPVPPPDFGTPTLHYFEDWGVV 400
401 TYGSALPAEINRSFLSFKSGKLGGRAIYDIVHRNKYKDWIKGWRNFNAGH 450
451 EHPDQNSFTFAPNGVPFITEALYGPKYTYFNNVLMFSPAVSKSCFSPWEG 500
501 QVTEDCSSKWSKYKHDLAASCQGRVIAADEKDGVVFIRGEGVGAYNPMLN 550
551 LKHIQRNLILLHPQLLLLVDQIHLGEESPLETAASFFHNVDVPFEETVVD 600
601 GVHGALIRQRDGLYKMYWMDDTGYSEKANFASVMYPRGYPYNGTNYVNVT 650
651 MHLRSPITRAAYLFIGPSVDVQSFSIHGDPQRLDVFIATSEHAYATYLWT 700
701 GENTGHSAFAQVIADHQKILFDQSSAIKSTAVPEVKDYAAIVEQNLQHFK 750
751 PVFQLLEKQILSRVQNTASFRKTAERLLRFSDKRQTEEAIDRIFAISQQQ 800
801 RQQRGKSKKSRKAGKHYKFVDAVPDIFAQIEVNEKKIRQKAQVLAQREQP 850
851 IDEDEEMKDLLDFADVTYEKHKNEGSVKGGFGQVRMVTSHNRAPSLSASY 900
901 TRLFLILNIAIFFVMLAMQLTYFQRAQSLHGQRCLYAVLLIDSCVLLWLY 950
951 SSCSQSQC 958
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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