SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching Q8N4C6 from www.uniprot.org...

The NucPred score for your sequence is 0.89 (see score help below)

   1  MDEVEQDQHEARLKELFDSFDTTGTGSLGQEELTDLCHMLSLEEVAPVLQ    50
51 QTLLQDNLLGRVHFDQFKEALILILSRTLSNEEHFQEPDCSLEAQPKYVR 100
101 GGKRYGRRSLPEFQESVEEFPEVTVIEPLDEEARPSHIPAGDCSEHWKTQ 150
151 RSEEYEAEGQLRFWNPDDLNASQSGSSPPQDWIEEKLQEVCEDLGITRDG 200
201 HLNRKKLVSICEQYGLQNVDGEMLEEVFHNLDPDGTMSVEDFFYGLFKNG 250
251 KSLTPSASTPYRQLKRHLSMQSFDESGRRTTTSSAMTSTIGFRVFSCLDD 300
301 GMGHASVERILDTWQEEGIENSQEILKALDFSLDGNINLTELTLALENEL 350
351 LVTKNSIHQAALASFKAEIRHLLERVDQVVREKEKLRSDLDKAEKLKSLM 400
401 ASEVDDHHAAIERRNEYNLRKLDEEYKERIAALKNELRKEREQILQQAGK 450
451 QRLELEQEIEKAKTEENYIRDRLALSLKENSRLENELLENAEKLAEYENL 500
501 TNKLQRNLENVLAEKFGDLDPSSAEFFLQEERLTQMRNEYERQCRVLQDQ 550
551 VDELQSELEEYRAQGRVLRLPLKNSPSEEVEANSGGIEPEHGLGSEECNP 600
601 LNMSIEAELVIEQMKEQHHRDICCLRLELEDKVRHYEKQLDETVVSCKKA 650
651 QENMKQRHENETHTLEKQISDLKNEIAELQGQAAVLKEAHHEATCRHEEE 700
701 KKQLQVKLEEEKTHLQEKLRLQHEMELKARLTQAQASFEREREGLQSSAW 750
751 TEEKVRGLTQELEQFHQEQLTSLVEKHTLEKEELRKELLEKHQRELQEGR 800
801 EKMETECNRRTSQIEAQFQSDCQKVTERCESALQSLEGRYRQELKDLQEQ 850
851 QREEKSQWEFEKDELTQECAEAQELLKETLKREKTTSLVLTQEREMLEKT 900
901 YKEHLNSMVVERQQLLQDLEDLRNVSETQQSLLSDQILELKSSHKRELRE 950
951 REEVLCQAGASEQLASQRLERLEMEHDQERQEMMSKLLAMENIHKATCET 1000
1001 ADRERAEMSTEISRLQSKIKEMQQATSPLSMLQSGCQVIGEEEVEGDGAL 1050
1051 SLLQQGEQLLEENGDVLLSLQRAHEQAVKENVKMATEISRLQQRLQKLEP 1100
1101 GLVMSSCLDEPATEFFGNTAEQTEQFLQQNRTKQVEGVTRRHVLSDLEDD 1150
1151 EVRDLGSTGTSSVQRQEVKIEESEASVEGFSELENSEETRTESWELKNQI 1200
1201 SQLQEQLMMLCADCDRASEKKQDLLFDVSVLKKKLKMLERIPEASPKYKL 1250
1251 LYEDVSRENDCLQEELRMMETRYDEALENNKELTAEVFRLQDELKKMEEV 1300
1301 TETFLSLEKSYDEVKIENEGLNVLVLRLQGKIEKLQESVVQRCDCCLWEA 1350
1351 SLENLEIEPDGNILQLNQTLEECVPRVRSVHHVIEECKQENQYLEGNTQL 1400
1401 LEKVKAHEIAWLHGTIQTHQERPRVQNQVILEENTTLLGFQDKHFQHQAT 1450
1451 IAELELEKTKLQELTRKLKERVTILVKQKDVLSHGEKEEELKAMMHDLQI 1500
1501 TCSEMQQKVELLRYESEKLQQENSILRNEITTLNEEDSISNLKLGTLNGS 1550
1551 QEEMWQKTETVKQENAAVQKMVENLKKQISELKIKNQQLDLENTELSQKN 1600
1601 SQNQEKLQELNQRLTEMLCQKEKEPGNSALEEREQEKFNLKEELERCKVQ 1650
1651 SSTLVSSLEAELSEVKIQTHIVQQENHLLKDELEKMKQLHRCPDLSDFQQ 1700
1701 KISSVLSYNEKLLKEKEALSEELNSCVDKLAKSSLLEHRIATMKQEQKSW 1750
1751 EHQSASLKSQLVASQEKVQNLEDTVQNVNLQMSRMKSDLRVTQQEKEALK 1800
1801 QEVMSLHKQLQNAGGKSWAPEIATHPSGLHNQQKRLSWDKLDHLMNEEQQ 1850
1851 LLWQENERLQTMVQNTKAELTHSREKVRQLESNLLPKHQKHLNPSGTMNP 1900
1901 TEQEKLSLKRECDQFQKEQSPANRKVSQMNSLEQELETIHLENEGLKKKQ 1950
1951 VKLDEQLMEMQHLRSTATPSPSPHAWDLQLLQQQACPMVPREQFLQLQRQ 2000
2001 LLQAERINQHLQEELENRTSETNTPQGNQEQLVTVMEERMIEVEQKLKLV 2050
2051 KRLLQEKVNQLKEQVSLPGHLCSPTSHSSFNSSFTSLYCH 2090

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

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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