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

NucPred

Fetching Q9JMH9 from www.uniprot.org...

The NucPred score for your sequence is 0.98 (see score help below)

   1  MFNLMKKDKDKDGGRKEKKEKKEKKERMSAAELRSLEEMSMRRGFFNLNR    50
51 SSKRESKTRLEISNPIPIKVASGSDLHLTDIDSDSNRGSIILDSGHLSTA 100
101 SSSDDLKGEEGSFRGSVLQRAAKFGSLAKQNSQMIVKRFSFSQRSRDESA 150
151 SETSTPSEHSAAPSPQVEVRTLEGQLMQHPGLGIPRPGPRSRVPELVTKR 200
201 FPADLRLPALVPPPPPALRELELQRRPTGDFGFSLRRTTMLDRAPEGQAY 250
251 RRVVHFAEPGAGTKDLALGLVPGDRLVEINGQNVENKSRDEIVEMIRQSG 300
301 DSVRLKVQPIPELSELSRSWLRTGEGHRREPADAKTEEQIAAEEAWYETE 350
351 KVWLVHRDGFSLASQLKSEELSLPEGKARVKLDHDGAILDVDEDDIEKAN 400
401 APSCDRLEDLASLVYLNESSVLHTLRQRYGASLLHTYAGPSLLVLSTRGA 450
451 PAVYSEKVMHMFKGCRREDMAPHIYAVAQTAYRAMLMSRQDQSIVLLGSS 500
501 GSGKTTSFQHLVQYLATIAGTSGTKVFSVEKWQALSTLLEAFGNSPTIMN 550
551 GSATRFSQILSLDFDQAGQVASASIQTMLLEKLRVARRPASEATFNVFYY 600
601 LLACGDATLRTELHLNHLAENNVFGIVPLSKPEEKQKAAQQFSKLQAAMK 650
651 VLAISPEEQKTCWLILASIYHLGAAGATKEAAEAGRKQFARHEWAQKAAY 700
701 LLGCSLEELSSAIFKHQLKGGTLQRSTSFRQGPEESGLGEGTKLSALECL 750
751 EGMASGLYSELFTLLISLVNRALKSSQHSLCSMMIVDTPGFQNPEWGGSA 800
801 RGASFEELCHNYAQDRLQRLFHERTFLQELERYKEDNIELAFDDLEPVAD 850
851 DSVAAVDQASHLVRSLAHADEARGLLWLLEEEALVPGATEDALLDRLFSY 900
901 YGPQEGDKKGQSPLLRSSKPRHFLLGHSHGTNWVEYNVAGWLNYTKQNPA 950
951 TQNAPRLLQDSQKKIISNLFLGRAGSATVLSGSIAGLEGGSQLALRRATS 1000
1001 MRKTFTTGMAAVKKKSLCIQIKLQVDALIDTIKRSKMHFVHCFLPVAEGW 1050
1051 PGEPRSASSRRVSSSSELDLPPGDPCEAGLLQLDVSLLRAQLRGSRLLDA 1100
1101 MRMYRQGYPDHMVFSEFRRRFDVLAPHLTKKHGRNYIVVDEKRAVEELLE 1150
1151 SLDLEKSSCCLGLSRVFFRAGTLARLEEQRDEQTSRHLTLFQAACRGYLA 1200
1201 RQHFKKRKIQDLAIRCVQKNIKKNKGVKDWPWWKLFTTVRPLIQVQLSEE 1250
1251 QIRNKDEEIQQLRSKLEKVEKERNELRLSSDRLETRISELTSELTDERNT 1300
1301 GESASQLLDAETAERLRTEKEMKELQTQYDALKKQMEVMEMEVMEARLIR 1350
1351 AAEINGEVDDDDAGGEWRLKYERAVREVDFTKKRLQQELEDKMEVEQQSR 1400
1401 RQLERRLGDLQADSDESQRALQQLKKKCQRLTAELQDTKLHLEGQQVRNH 1450
1451 ELEKKQRRFDSELSQAHEETQREKLQREKLQREKDMLLAEAFSLKQQMEE 1500
1501 KDLDIAGFTQKVVSLEAELQDISSQESKDEASLAKVKKQLRDLEAKVKDQ 1550
1551 EEELDEQAGSIQMLEQAKLRLEMEMERMRQTHSKEMESRDEEVEEARQSC 1600
1601 QKKLKQMEVQLEEEYEDKQKALREKRELESKLSTLSDQVNQRDFESEKRL 1650
1651 RKDLKRTKALLADAQIMLDHLKNNAPSKREIAQLKNQLEESEFTCAAAVK 1700
1701 ARKAMEVEMEDLHLQIDDIAKAKTALEEQLSRLQREKNEIQNRLEEDQED 1750
1751 MNELMKKHKAAVAQASRDMAQMNDLQAQIEESNKEKQELQEKLQALQSQV 1800
1801 EFLEQSMVDKSLVSRQEAKIRELETRLEFEKTQVKRLENLASRLKETMEK 1850
1851 LTEERDQRAAAENREKEQNKRLQRQLRDTKEEMSELARKEAEASRKKHEL 1900
1901 EMDLESLEAANQSLQADLKLAFKRIGDLQAAIEDEMESDENEDLINSLQD 1950
1951 MVTKYQKKKNKLEGDSDVDSELEDRVDGVKSWLSKNKGPSKAPSDDGSLK 2000
2001 SSSPTSHWKPLAPDPSDDEHDPVDSISRPRFSHSYLSDSDTEAKLTETSA 2050

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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