 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8R553 from www.uniprot.org...
The NucPred score for your sequence is 0.19 (see score help below)
1 MTLLLVSLLLASLLQISSGNKANKHKPWIEAEYQGIVMENDNTVLLNPPL 50
51 FALDKDAPLRYAGEICGFRLHGSGVPFKAVILDKATGEGLIRAKEPVDCE 100
101 AQKEHTFTTQAYDCVDGPDGANTKKSHKATVHVRVNDVNEFAPVFVERLY 150
151 RAAVTEGKLYDRILRVEAIDGDCSPQYSQICYYEILTPNTPFLIDNDGNI 200
201 ENTEKLQYSGEKLYKFTVTAYDCGKKRAADDAEVEIQVKPTCKPSWQGWN 250
251 KRIEYAPGAGSLALFPGIRLETCDEPLWNIQATIELQTSHVAKGCDRDNY 300
301 SERALRKLCGAATGEVDLLPMPGPNANWTAGLSVHYSQDSSLIYWFNGTQ 350
351 AVQVPLGGPAGLGSGPQDGLSDHFTLSFWMKHSVTPSKGKKEEETIVCNT 400
401 IQNEDGYSHYSLTVHGCRIAFLYWPLLESARPVKFLWKLEQVCDDEWHHY 450
451 ALNLEFPTVTLYTDGISFDPALIHDNGLIHPPRREPALMIGACWSEEKNK 500
501 EKEKGGENSTDTTSGDPLPIHHYFHGYLAGFSVRSGRLESREVIECLYAC 550
551 REGLDYRDFESLGKGMKVHVNPSQSLLTLEGDDVETFNHALQHVAYMNTL 600
601 RFATPGVRPLRLTTAVKCFSEESCVSIPEVEGYVVVLQPDAPQILLSGTA 650
651 HFARPAVDFEGPEGVPLFPDLQITCSISHQVEAKADESWQGTVTDTRMSD 700
701 EIVHNLDGCEISLVGDDLDPERESLLLDMASLQQRGLELTNRSAYLTIAG 750
751 VETITVYEEILRQARYQLRHGAALYARKFRLSCSEMNGRYSSNEFIVEVN 800
801 VLHSMNRVAHPSHVLSSQQFLHRGHQPPPEMAGHSLASSHRNSMVPSAAT 850
851 LIIVVCVGFLVLMVILGLVRIHSLHRRVSGTGGPSGASADPKDPDLFWDD 900
901 SALTIIVNPMESYQNQQTGVAGVAGGQQEEEDSSDSEAADSPSSDERRII 950
951 ESPPHRY 957
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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