 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q9JIS8 from www.uniprot.org...
The NucPred score for your sequence is 0.09 (see score help below)
1 MPHFTVVPVDGPRRGDYDNLEGLSWVDYGERAEREDSDGQGNHRENSPFL 50
51 CPLDASRGNDYYDRNLALFEEELDIRPKVSSLLGKLVSYTNLTQGAKEHE 100
101 EAESGEGGRRRAAKAPSMGTLMGVYLPCLQNIFGVILFLRLTWMVGTAGV 150
151 LQALLIVLICCCCTLLTAISMSAIATNGVVPAGGSYFMISRSLGPEFGGA 200
201 VGLCFYLGTTFAAAMYILGAIEILLTYIAPPAAIFYPSGTHDMSSATLNN 250
251 MRVYGTIFLTLMTLVVFVGVKYVNKFASLFLACVIISILSIYAGGIKSIF 300
301 DPPVFPVCMLGNRTLSRDQFDICAKTVVVDNETVATRLWTFFCHSPNLTA 350
351 DSCDPYFLLNNVTEIPGIPGAAAGVLQENLWSAYLEKGEVVEKHGLPSTD 400
401 TLGLKESLSLYVVADIATSFTVLVGIFFPSVTGIMAGSNRSGDLRDAQKS 450
451 IPVGTILAIVTTSLVYFSSVILFGACIEGVVLRDKYGDGVSRNLVVGTLA 500
501 WPSPWVIVVGSFFSTCGAGLQSLTGAPRLLQAIAKDNIIPFLRVFGHGKA 550
551 NGEPTWALLLTALIAELGILIASLDMVAPILSMFFLMCYLFVNLACAVQT 600
601 LLRTPNWRPRFKYYHWTLSFLGMSLCLALMFVSSWYYALVAMLIAGMIYK 650
651 YIEYQGAEKEWGDGIRGLSLSAARYALLRLEEGPPHTKNWRPQLLVLLKL 700
701 DEDLHVKYPRLLTFASQLKAGKGLTIVGSVIQGSFLESYGEAQAAEQTIK 750
751 NMMDIEKVKGFCQVVVASKVREGLAHLIQSCGLGGMRHNSVVLGWPYGWR 800
801 QSEDPRAWKTFIDTVRCTTAAHLALLVPKNIAFYPSNHERYLDGHIDVWW 850
851 IVHDGGMLMLLPFLLRQHKVWKKCRMRIFTVAQMDDNSIQMKKDLAIFLY 900
901 HLRLEAEVEVVEMHNSDISAYTYERTLMMEQRSQMLRQMRLTKTERDREA 950
951 QLVKDRHSALRLESLYSDEEEESVAGADKIQMTWTRDKYMAEPWDPSHAP 1000
1001 DNFRELVHIKPDQSNVRRMHTAVKLNEVIVTRSHDARLVLLNMPGPPKNS 1050
1051 EGDENYMEFLEVLTEGLERVLLVRGGGREVITIYS 1085
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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