 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching O22060 from www.uniprot.org...
The NucPred score for your sequence is 0.64 (see score help below)
1 MAGNDWINSYLEAILDVGPGLDDAKSSLLLRERGRFSPTRYFVEEVITGF 50
51 DETDLHRSWVKAQATRSPQERNTRLENMCWRIWNLARQKKQLEGEAAQRM 100
101 AKRRLERERGRREATADMSEDLSEGEKGDIVSDVSAHGDSTRSRLPRISS 150
151 VDAMETWISQQKGKKLYIVLISIHGLIRGENMELGRDSDTGGQVKYVVEL 200
201 ARALGSMPGVYRVDLLTRQVSAPDVDWSYGEPTEMLTPRNSDDFMDDMGE 250
251 SSGAYIIRIPFGPKDKYIAKELLWPHIPEFVDGALNHIIRMSNVLGEQIG 300
301 GGKPVWPVAIHGHYADAGDSAALLSGALNVPMLFTGHSLGRDKLEQLLKQ 350
351 ARLSRDEINATYKIMRRIEAEELSLDASEIVITSTRQEIEEQWRLYDGFD 400
401 PVLERKLRARIKRNVSCYGKFMPRMAIIPPGMEFHHIVPQDGDMDGETEG 450
451 NEDNPASPDPPIWSEIMRFFTNPRKPVILALARPDPKKNITTLVKAFGEC 500
501 RPLRELANLTLIMGNRDGIDEMSSTSASVLLSVLKLIDKYDLYGQVAYPK 550
551 HHKQSDVPEIYRLAAKTKGVFINPAFIEPFGLTLIEAAAHGLPIVATKNG 600
601 GPVDIHRVLDNGLLVDPHDQQSIADALLKLVAGKQLWARCRQNGLKNIHL 650
651 FSWPEHCKTYLSRIAGCKPRHPQWQRTDDGGETSESDSPGDSLRDIQDIS 700
701 LNLKFSLDGEKSGASGNDDSLDSEGNVADRKSRLENAVLAWSKGVLKDTR 750
751 KSGSTDKVDQNTGAAKFPALRRRKHIFVISVDCDSTTGLLDATKKICEAV 800
801 EKERTEGSIGFILSTSMTISEIHSFLVSGHLSPSDFDAFICNSGSDLYYS 850
851 TLNSEDGPFVVDFYYHSHIEYRWGGEGLRKTLVRWASQVTDKKAESGEKV 900
901 LTPAEQLSTNYCYAFSVQKPGMTPPVKELRKVLRIQALRCHVIYCQNGSR 950
951 VNVIPVLASRSQALRYLYLRWGVELSKMVVFVGESGDTDYEGLLGGVHKT 1000
1001 VILKGICSSSSNQIHANRSYPLSDVMPIDSPNIVQTPEDCTTSDIRSSLE 1050
1051 QLGLLKV 1057
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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