 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q43876 from www.uniprot.org...
The NucPred score for your sequence is 0.59 (see score help below)
1 MAGNDWLNSYLEAILDVGPGLDDAKSSLLLRERGRFSPTRYFVEEVIGFD 50
51 ETDLYRSWVRASSSRSPQERNTRLENMCWRIWNLARQKKQLESEAVQRVN 100
101 KRRLERERGRREATADMSEDLSEGERGDPVSDVSTHGGGDSVKSRLPRIS 150
151 SADAMETWVNSQKGKKLYIVLISIHGLIRGENMELGRDSDTGGQVKYVVE 200
201 LARALGSMPGVYRVDLLTRQVSSPDVDWSYGEPTEMLAPRNTDEFGDDMG 250
251 ESSGAYIIRIPFGPRNKYIPKEELWPYIPEFVDGAMGHIIQMSKALGEQI 300
301 GSGHAVWPVAIHGHYADAGDSAALLSGALNVPMIFTGHSLGRDKLEQLLK 350
351 QGRLSTDEINSTYKIMRRIEAEELALDGTEIVITSTRQEIEEQWRLYNGF 400
401 DPVLERKIRARIRRNVSCYGRYMPRMSVIPPGMEFHHIAPLDGDIETEPE 450
451 GILDHPAPQDPPIWSEIMRFFSNPRKPVILALARPDPKKNITTLVKAFGE 500
501 CRPLRELANLTLIMGNRDGIDEMSSTSSSVLLSVLKLIDKYDLYGQVAYP 550
551 KHHKQSDVPDIYRLAAKTKGVFINPAFIEPFGLTLIEAAAYGLPMVATKN 600
601 GGPVDIHRVLDNGLLIDPHDEKSIADALLKLVSNKQLWAKCRQNGLKNIH 650
651 LFSWPEHCKTYLSKIATCKPRHPQWQRSEDGGESSESEESPGDSLRDIQD 700
701 LSLNLKFSLDGERSGDSGNDNSLDPDGNATDRTTKLENAVLSWSKGISKD 750
751 TRRGGATEKSGQNSNASKFPPLRSRNRLFVIAVDCDTTSGLLEMIKLIFE 800
801 AAGEERAEGSVGFILSTSLTISEIQSFLISGGLSPNDFDAYICNSGSDLY 850
851 YPSLNSEDRLFVGDLYFHSHIEYRWGGEGLRKTLIRWASSITDKKSENNE 900
901 QIVSPAEQLSTDYCYAFNVRKAGMAPPLKELRKLMRIQALRCHPIYCQNG 950
951 TRLNVIPVLASRSQALRYLYVRWGFELSKMVVFVGECGDTDYEGLVGGLH 1000
1001 KSVILKGVGSRAISQLHNNRNYPLSDVMPLDSPNIVQATEGSSSADIQAL 1050
1051 LEKVGYHKG 1059
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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