 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8K2V6 from www.uniprot.org...
The NucPred score for your sequence is 0.53 (see score help below)
1 MDLNSASSVVLQVLTQATSQDTAVLKPAEEQLKQWETQPGFYSVLLNIFT 50
51 NHTLDINVRWLAVLYFKHGIDRYWRRVAPHALSEEEKSTLRAGLITNFNE 100
101 PINQIATQIAVLIAKVARLDCPRQWPELIPTLVESVKVQDDLRQHRALLT 150
151 FYHVTKTLASKRLAADRKLFYDLASGIYNFACSLWNHHTDTFLQHVSSGN 200
201 EAAVLSSLERTLLSLKVLRKLTVNGFVEPHKNMEVMGFLHGIFERLKQFL 250
251 ECSRSIGTDNVCRDRLEKTIILFTKVLLDFLDQHPISFTPLIQRSLEFSV 300
301 SYVFTEVGEGVTFERFIVQCMNLIKMIVKNYAYKPSKNFEDSSPETLEAH 350
351 KIKMAFFTYPTLTEICRRLVSHYFLLTEEELTMWEEDPEGFTVEETGGDS 400
401 WKYSLRPCTEVLFIDIFHEYNQTLTPVLLEMMQTLEGPTNVEDMNALLIK 450
451 DAVYNAVGLAAFELFDSVDFDQWFKTQLLPELQVSHNRYKPLRRRVIWLI 500
501 GQWISVKFKSDLRPMLYEAICNLLQDQDLVVRIETATTLKLTVDDFEFRT 550
551 DQFLPYLETMFTLLFQLLQQVTECDTKMHVLHVLSCVIERVNVQIRPYVG 600
601 CLVQYLPLLWKQSEEHNMLRCAILTTLIHLVQGLGADSKNLYPFLLPVIQ 650
651 LSTDVSQPPHVYLLEDGLELWLVTLENSPCVTPELLRIFQNMSPLLELSS 700
701 ENLRTCFKIINGYIFLSSTEFLQTYAAGLCQSFYELLPEITTEGQVQVLK 750
751 VVENALKVNPVLGPQMFQRILPCVFRGVIEGERYPVVMSIYLAVMGRVLL 800
801 QNTSFFSSLLNEMGHEFNQEMDQLLGNVIEMWVDRMDNITQPERKKLSAL 850
851 ALLSLLPSDNSVIQDKFCGIINISVEALHDVMTEDPETRTYKDCMLMSQH 900
901 EEPKVTEDEEPPTEQDKRKKMLALKDPVHTVSLQQFIYEKLKAQQEILGE 950
951 QGFQSLMETVDTEIVTQLQEFLQGF 975
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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