| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8WVS4 from www.uniprot.org...
The NucPred score for your sequence is 0.96 (see score help below)
1 MEPGKRRTKDDTWKADDLRKHLWAIQSGGSKEERKHREKKLRKESEMDLP 50
51 EHKEPRCRDPDQDARSRDRVAEVHTAKESPRGERDRDRQRERRRDAKDRE 100
101 KEKLKEKHREAEKSHSRGKDREKEKDRRARKEELRQTVAHHNLLGQETRD 150
151 RQLLERAERKGRSVSKVRSEEKDEDSERGDEDRERRYRERKLQYGDSKDN 200
201 PLKYWLYKEEGERRHRKPREPDRDNKHREKSSTREKREKYSKEKSNSFSD 250
251 KGEERHKEKRHKEGFHFDDERHQSNVDRKEKSAKDEPRKRESQNGEHRNR 300
301 GASSKRDGTSSQHAENLVRNHGKDKDSRRKHGHEEGSSVWWKLDQRPGGE 350
351 ETVEIEKEETDLENARADAYTASCEDDFEDYEDDFEVCDGDDDESSNEPE 400
401 SREKLEELPLAQKKEIQEIQRAINAENERIGELSLKLFQKRGRTEFEKEP 450
451 RTDTNSSPSRASVCGIFVDFASASHRQKSRTQALKQKMRSTKLLRLIDLD 500
501 FSFTFSLLDLPPVNEYDMYIRNFGKKNTKQAYVQCNEDNVERDIQTEEIE 550
551 TREVWTQHPGESTVVSGGSEQRDTSDAVVMPKIDTPRLCSFLRAACQVMA 600
601 VLLEEDRLAAEPSWNLRAQDRALYFSDSSSQLNTSLPFLQNRKVSSLHTS 650
651 RVQRQMVVSVHDLPEKSFVPLLDSKYVLCVWDIWQPSGPQKVLICESQVT 700
701 CCCLSPLKAFLLFAGTAHGSVVVWDLREDSRLHYSVTLSDGFWTFRTATF 750
751 STDGILTSVNHRSPLQAVEPISTSVHKKQSFVLSPFSTQEEMSGLSFHIA 800
801 SLDESGVLNVWVVVELPKADIAGSISDLGLMPGGRVKLVHSALIQLGDSL 850
851 SHKGNEFWGTTQTLNVKFLPSDPNHFIIGTDMGLISHGTRQDLRVAPKLF 900
901 KPQQHGIRPVKVNVIDFSPFGEPIFLAGCSDGSIRLHQLSSAFPLLQWDS 950
951 STDSHAVTGLQWSPTRPAVFLVQDDTSNIYIWDLLQSDLGPVAKQQVSPN 1000
1001 RLVAMAAVGEPEKAGGSFLALVLARASGSIDIQHLKRRWAAPEVDECNRL 1050
1051 RLLLQEALWPEGKLHK 1066
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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