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

NucPred

Fetching Q8CJF7 from www.uniprot.org...

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

   1  MQDLTAQVTSDLLHFPEVTIEALGEDEITLESVLRGKFAAGKNGLACLAC    50
51 GPQLEVVNSLTGERLSAYRFSGVNEQPPVVLAVKEFSWHKRTGLLIGLEE 100
101 ADGSVLCLYDLGISRVVKAVVLPGRVTAIEPIINHGGASASTQHLHPSLR 150
151 WLFGVAAVVTDVGQILLIDLCLDDLSCSQNEVEASDLEVITGIPAEVPHI 200
201 RERVMREGRHLCFQLVSPLGVAISTLSYINRTNQLAVGFSDGYLALWNMK 250
251 SMKREYYTQLEGGRVPVHAVAFQEPENDPRNCCYLWAVQSTQDSEGDVLS 300
301 LHLLQLAFGDRKCLASGQILYEGLEYCEERYTLDLAGGTFPLRGQTSNTK 350
351 LLGCQSIERFPSHGDREESMREALSPDTSVSVFTWQVNIYGQGKPSVYLG 400
401 LFDINRWYHAQMPDSLRSGESLHNCSYFALWSLDSVVSRTSPHHILDILV 450
451 HERSLNRGVPPSYPPPEQFFNPSTFNFDATCLLDSGVIHVTCAGFQKETL 500
501 TFLKKSGPTLNEVIPDSYNRCLVAGLLSPRLIDIQPSSLSQEEQLEAILS 550
551 AAIQTSSLGLLTGYIRTWIIEEQPNSAANLRFVLEWTWNKVVLTKEEFDR 600
601 LCVPLFDGSCRFIDPQTIQSIQQCHLLLSNLSTVLSCFAMEAQGITERGL 650
651 VDLSNKHMVTQLLCQYAHMVLWFCHSGLLPEGLDDALQLSRLRYNYPVIQ 700
701 NYYTSRRQKSERSPRGKWNHDCLMIDGLVSQLGDEVEKLWKRDEGGTGRY 750
751 PPASIHALLDIYLLDNITEASKHAITIYLLLDIMYSFPNKTDTPIESFPT 800
801 AFAISWGQVKLVQGFWLLDHNDYENGLDLLFHPVTAKPASWQHSKIIEAF 850
851 MSQGEHKQALRYLQTMKPTVSSSNEVILHLTVLLFNRCMVEAWNLLRQNS 900
901 NRVNIEELLKHAYEVCQEMGLMEDLLKLPFTNTEQECLVKFLQSSTSVEN 950
951 HEFLLVHHLQRANYISALKLNQILKNNLMSDRDPRLRERSVTRNSILDQY 1000
1001 GKILPRVQRKLAVERAKPYHLSTSSVFHEVSRPKPLSAFPKKAITGTVLT 1050
1051 RSTFISNVLSKIGEVWASHEPRNGVSLFNSPKTEQPSPVVHSFPHPELPE 1100
1101 AFVGTPISNTSQRISRLLDLVVHPVPQPSQCLEFIQQSPTRSPLCLLSSS 1150
1151 LPLSSQFKRPHQNTSRPSELLLLETPLIVKKAKSLALSATSSGFAEFTPP 1200
1201 SILRSGFRTTPLASPSLSPGRSLTPPFRVKETRISFMEEGMNTHWTDRAT 1250
1251 DDRNTKAFVSTSFHKCGLPAETEWMKTSDKNTYFPLDVPAKGPQKVVAES 1300
1301 LATHSGRLEKLDVSKEDSTASTRSDQTSLEYHDAPSPEDLEGAVFVSPKP 1350
1351 ASSSTELTTNSTLQTERDNDKDAFKSEGAPSPVKKQIGTGDAAVEAFSEL 1400
1401 SRLDPVERAEASFAVSSVCEGETSTSNSKTSVLDGIVPIESRTSILTADH 1450
1451 KESVANTVADVESSGSTSSKCPVTSERSLGQKLTLNLKEDEIEAHVPKEN 1500
1501 VGLPEESPRISAAPSDTHEIHLIGCENLEVQNSEEEAKNLSFDELYPLGA 1550
1551 EKLEYNLSTIEQQFCDLPDDKDSAECDAAEVDGELFVAQSNFTLILEGEE 1600
1601 GEAEASDSAAPNMLPKATKEKPVCHREPHNQERVTDLPSAVTADQESHKV 1650
1651 ETLPYVPEPVKVAIAENLLDVIKDTRSKEATPVAAGEAGDEDGAVIVSKA 1700
1701 AHSSRLTNSTPKTVKEPHAETVNTSQNDDMVSSRTLTRRQHALSLNVTSE 1750
1751 QEPSAVATPKKRTRKIKETPESSERTCSDLKVAPENQLTAQSPPAPRRGK 1800
1801 KKDVSQGTLPSSGAVEPEPEPQGTPGRLRLRTQPPEPAAEETPSRTKVRL 1850
1851 SSVRKGTPRRLKKSVENGQSTEILDDLKGSEAASHDGTVTELRNANLEDT 1900
1901 QNMEYKQDEHSDQQLPLKRKRVREREVSVSSVTEEPKLDSSQLPLQTGLD 1950
1951 VPATPRKRGRPRKVVPLEADGGTTGKEQTSPQKKDVPVVRRSTRNTPARN 2000
2001 VSTLEKSVLVPNKEAALVVTSKRRPTKKSAEESSKDPSAAVSDLAGGAAH 2050
2051 TESADRRDGLLAAAALTPSAQGTRTRSRRTMLLTDISEPKTEPLFPPPSV 2100
2101 KVPKKKSKAENMEAAAQLKELVSDLSSQFVVSPPALRTRQKSISNTSKLL 2150
2151 GELESDPKPLEIIEQKPKRSRTVKTRASRNTGKGSSWSPPPVEIKLVSPL 2200
2201 ASPVDEIKTGKPRKTAEIAGKTLGRGRKKPSSFPKQILRRKML 2243

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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