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

NucPred

Fetching Q51ZN8 from www.uniprot.org...

The NucPred score for your sequence is 0.71 (see score help below)

   1  MATLFQSFRGSAMPKRLLRYALARLDLLDSDALDLDNLDLAIGRNTVLEF    50
  51  RDVGIKLPKLAKLLGLPPTFTLLKAKVILLRVTIPMDIYSSSLKIEVDRV   100
 101  DVQLKVDSKDDIDGRSRTTIRGPTDVVPNTVDLAQSFLEQQSPKEKEELE   150
 151  AALSAETQDVGGSLVLGEDEDEQDEGSYGTGQALSLPAFLANFLQGIVDR   200
 201  TQIQIRGVTFQLDVSVPLEPNLNAPDVVTVKLALGQIDVEGVTTSLGSDE   250
 251  QDRPKFVHKEGKRLVSLQDITAFLISEANVFSTFERTTSVPPSLSPQSSA   300
 301  ASALRSPVSRESTSMPFQEQEVEGRSTQLPSFEDNLGDSEAALNIPYDLS   350
 351  DEDDQEPGNKTAASSMSTPRASILHDHLAHQDESSSFLQGFTPYTAATPG   400
 401  IHLDADQMDEMSPQPAHDLSTHNQISLSNSVLSNSSSGSSGQEPTEDLTE   450
 451  SHLYTHEDAESMYMSAFSQHEPTPQSVVPNELYIDPSESSVGVSSPQGTR   500
 501  DEPSSSLGATYGLEDSQASSTIGFQGLKTSPGLDASTISEQSDSSPAPII   550
 551  PPSSDGNTEAGPESSIQGERHDRKSQSPNECLTPREPTRLAKKVLALDTL   600
 601  SLYLPSSQKSVHVVPLDGQSSPGEPQPLSPSLASSVFPHVPGAFGASTSL   650
 651  PPSPPPISPTSIELDNQEPNDGILEAILSPISIQFDASIGFILAMVVSRL   700
 701  LGAISPSKEEPAQQTAKDNPSATNQATDHQAVKVTLQAVSILFLERLGGV   750
 751  SEAPDSIFGVRTSKFDEDILLQAQLRNVQCLLSSDETVIDAEGFTFGYAG   800
 801  DDNHIISFDRSKEMMASVKDAVPSPGSEVSIKLKKGGPSSKIDIATLPLQ   850
 851  ICLDLRRLDETFSWFGGLSSFLNMGSSIASINGIGNSQPAKPPARPASRG   900
 901  VKFDTPINPDDRSATSDNKINMRINTVRLDLIGKDCNVILETSAFKLVSR   950
 951  DEGIGIALRKIQVHGPYSNESGPHPPISVTITGSRIEYSMTPKEADLERL  1000
1001  LELISPSKLRDTPDDDEIMVDTLLRQRRKGSVLRLKFDNVAADISNIPHL  1050
1051  GCLPSLGEDLARLGTVAKYLPEDDRPGLMSLILVRNAHVSVDVGGRFGVI  1100
1101  SASMAHFDVAHVSVPSLLAVAARSLEVNRNQIEELVGSSLLASHGDEETP  1150
1151  VLVIRLIGGTVEPTITVKLRGLNVEYRVPTIIDLLNLGEDATPQDFEAGL  1200
1201  AASVAQFGEQAHVAISGTSAITADSRTIGQDRQKLPVVELYFLDCVVGLN  1250
1251  PLGMTSKMGIVLSDSCLKVWLEEKGDAKATWHIKQASILLIDDVALLDPE  1300
1301  GKQNVKRHVHRPSDPVSAKIWDMDSVLCAQGFVSISQIRAAIIRVKAIQD  1350
1351  EDGQRLIDVEVQDNFLVLETCADSTQTLIGLGNALKPPTPPSKENKFKTE  1400
1401  IVPIEDMLASISQDAFGKAEGDYNFDDDFGEPEESDWTEDDLDEDLDIMG  1450
1451  ALGSQDDGQNTRQLLFDATSSSIMSDRTTTQYANDEVIFSGFSENPSHAN  1500
1501  SPDMSVENAFFASVPASETPQPEWKSAKMREVVPKEATIKKYPLKIKIRD  1550
1551  MHLIWNLFDGYDWQRTRETIGKTVEEIQAKAYERRARMDRRMGYHEEDGL  1600
1601  EEEAVSDFLFNSIYIGIPSHQDPRELSQNINQELYGINPSDTESVATTAF  1650
1651  TTTTSRMGGPSRPKGKRLKLTRSKHHKITFELSGVNAVVRLLEPGSEETQ  1700
1701  SLIRVHIRDLDVYDHVPTSTWKRFAMYDEDHGPREMGVPMVDLKVRIVRP  1750
1751  VLDVTAEEIVMFVNVLPLRLHVDQDALDFITRFFGFKDDTIKTTSSPSDV  1800
1801  PFIQRAEIYDIPVKLDFKPKRVDYAGIRSGRTTEFMNFIILDNASMVMRH  1850
1851  AIIYGALGFERFGEMLNDVWMPEIKRHQLPGVLAGLAPVRSLVDVGSGFR  1900
1901  HLYEIPIREYKRNGRVVRSIGKGAAAFARTTGTELIKLGAKVAIGTQNML  1950
1951  QGAEGLLVETPEHNRYGVAGPSTVQRPGEWEEIDDSEEDIRHQISLYANQ  2000
2001  PTGVIQGLRHGYRSLSRDISIARQAIIAVPGEVRESSSATGAAKAVLEKA  2050
2051  PIFIFRPAIGATKAIGQTLLGATNSLDPQNLRRMDNKYKPDPKS        2094

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.)

Go back to the NucPred Home Page.