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

NucPred

Fetching Q92215 from www.uniprot.org...

The NucPred score for your sequence is 0.38 (see score help below)

   1  MLLTAQIPESLTPFSISHGSLSVSWLLPYRLHCYATRLYRTFEATLAARS    50
  51  DNSEHPITLLSSVELAAHYMCYVAHETQANTDRACTQTHDISKLLLEDFE   100
 101  ATFLRSNDIHTLASALPSSDSAKDELLRCYYETCFITKHNTPLNESALLK   150
 151  AAREGIVSLYTTFSGQGCGGRYFDELRELFRLYPSFVGTLISESGNLFRE   200
 201  LASNPSAGRLFSKGFDIMAWLHHPQTTPDTEYLISAPVSFPIIGLVQLGH   250
 251  YAVSCRAMGLDPGAFQRSIRGSTGHSQGIVVAAAMSAADSWEAFDRLAIS   300
 301  CLTVLFWIGVRSQQAAPQMSLSPAQIQDSIDHNEDVPSPMLSIIGLSRLD   350
 351  VQMHIDSINHYLPQSEHISISLVNGGRHIVVSGLPSTLYRFNLLLRKIKV   400
 401  PDHSGQPRATSKQKKAQFSARFLPITVPFHSHHLVSVGSVLEEDLKNVFI   450
 451  GSKDLGFPVFNTYTGRDLRAEVIGNIVPALVRMVTQYPVFWGAAVEFPGA   500
 501  THILEFGPGGLSGSGALTSHIKNGTGVRVIFAGLTSGSNRQVGYKQELFA   550
 551  RDTCHVKFADDWSRKYAPSLVRTSNNSIVVNTKMSRLLGLPPIMVGGMTP   600
 601  TTAAWGFVAATMNAGYHIELAAGGYSDANAFENALLNIQKTTASGRGITV   650
 651  NLIYLSSHAVNWQIPLLRRLIIDGFRIEGITIGGGVPSIDVAKEYITTLG   700
 701  IKHIGFKPGPTTAIDAVIEIAQANPTFPVFLQWTGGRSGGHHSNEDFHQP   750
 751  ILETYDRIRQCDNIILIAGSGFGGAADTYPYITGEWSLRYDFPPMPFDGC   800
 801  LLGSRVMVAKEARTSPAAKRVIVETEGLNDNEWRRTYEEAAGGIITVQSE   850
 851  MGQPIHKIATRGVLFWAKLDQMIFSLPKEKRIAELQKHRSWIIKGLNDDF   900
 901  QKPWFGRDSADQVVELRDMTYAEVLRRMVQLLYVKHQRRWIHSSYAVLFK   950
 951  AFVNRLEERFTTKTVQSYLIQDCKTIDDPYNIITVVLLQYQQAIKETILT  1000
1001  PDVEYFLLLCKRRGQKPVPFVPALDEDFEFFFKKDSLWQSEDLEAVVDQD  1050
1051  VGRTCILQGPVAAKYSVKVDEPIAEILGSIHQGHVTRLREERYCATLDSI  1100
1101  PFVEYFGGESIQLDMSSLADGIEQSHNEQASIYSLPSSLSMPLPAVDVWM  1150
1151  SLLAGKSRSWRHAIMSAGIVIQENKCVANPMRRLFAPAHGIRVQIRKPDV  1200
1201  PSQTEVVLEEQQESGIYEVAVRAGLNEDGEIIVEMFERRNMSDLVVSLPC  1250
1251  DSGTKPEYGYAPIREIMEDRNERIRRFYWSIWFGKSHPILEGSLSDSFEC  1300
1301  GKEKITRQHVESFIQAINNSTRTHKNFLEPATNVSISFAIPVAWKAIVKP  1350
1351  LFLNALNGDLLQLVHLSNEFRMTPGAEPLKIGEEVSTVARINAIMNQDSG  1400
1401  KMVEVSAAVLRGKEIVVEIISRFLYRGAFVDFKDTFQWRDEPLMQIQLAT  1450
1451  SKHIAVLRTREWFVPTQGCNIDLVGHTLTFQMRSLYKFQSKTVFRRIETH  1500
1501  GKVTLELAPQKIVQVATVQYEVGICHSNTVIEFLDRYGSYSQNSVDFEDP  1550
1551  VSVPNNGESLVICAPSSNEAYARTSGDLNPIHVSRTFAEYAGLPGLITHG  1600
1601  MYCSAAIQDLVERLVADGNAGRIRQFSMSFVGMVLPNQKLEVKLEHIGMV  1650
1651  EGMIRLHIEARAQETGHRVIVGEAKITQKMTTYVFTGQGSQEKGMGMDLY  1700
1701  NQCPAAREVWDRGDKYFLHKYGFAITTIVRDNPKQLTVHFGGRQGEAIRQ  1750
1751  NYINMKVETVAEDGSIQYEKLFKDVDHNTQFYTFRSPTGLLSATQFTQPA  1800
1801  LSLMARASFEHLQIQGLVDGNCYYAGHSLGEFSALAAVAGIMSVESQALI  1850
1851  AFYRGLTMQKAVNRDESGRSNYSMCAVDPSRISATYDEEAFLTIVREIAA  1900
1901  ETGWLLEVVNFNVANKQYVCAGNLHALDTLAGVTDRLRLLQINASEMEEC  1950
1951  LHEIIRQCVQETKSKSTPLELTRGIATIPLQGIDVPFHSTFLRGGVRHFR  2000
2001  EFLHENIDKRNINPAKLIGRYIPNVTARSFQISKDYFQYVYDLTGSSQLR  2050
2051  DALKNWDIYEKSNGEESNGVEECSECRNSL                      2080

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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