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

NucPred

Fetching P27727 from www.uniprot.org...

The NucPred score for your sequence is 0.74 (see score help below)

   1  MEDWVSCRSEEQKRCEEKGQSTFDESEEEQWRRLKEEAMIDSDDSEGAAG    50
  51  DEGAVVLAEAKRRKPRKSGKVIATQKCAQPQNQHRHQQKLTKSLSTYDME   100
 101  NLLKQYRNISAEEEDEVDVDITKFLQDDGVDSEDGEGPSVTATELLSSLI   150
 151  SGRSADTNKTEELADSFPLANLNDEVFTYENEAAVKKTPRNKEKRTNKSG   200
 201  ANYVIKETVVEELNVVTDLAEVRTGSQHASTDFLNGCPPKALFYWFDAKE   250
 251  QPHTLTAPGTILLFGKVCMNEEDEEFRSCCVRIQHVHRNVFLLPKEGSTD   300
 301  AEVVQEINAICRGSGIEERRIKFVERYYAFEEPGVPREKNRWAKLVYPGR   350
 351  YPPFPNKGGLTHVQVVVGASRSLLELFLIKKRLMGPSYLEIEHLVTAMDR   400
 401  VSHCKTEFLVPSPKDIKVYNSSKPPPPFTVASIQLHAQLDSDGVKNEVIA   450
 451  ASIALYGDVSIDGERKPNITECFTGVRQLSPDAPLPLDLETYCLSKRMPG   500
 501  VHRFINERALLTWFAETLAALDPDIIVGHNIIGYTVETLLNRYQELNIVR   550
 551  WSTIGRLDVRRFPRIQGNNFNLAIEKEACVGRLVVDTYLLAREYYKSTNY   600
 601  KLLSLSTQMEIKGITDNRGHFEPGSTVLVKDSMMSSEALCPILLQLLNCA   650
 651  VLSFNVASFLDVIPLTKRLTLLAGNLWSRTLYGARSERIEYLLLHAFHNL   700
 701  KFVTPDKKKRDLKRGREDDDDEGKRKTKYQGGMVLEPKSGLYSEYILLLD   750
 751  FNSLYPSLIQEFNVCYTTIDRDENTVSAEVPPPESLICLSCRAAGLPSPC   800
 801  LHKCILPKVIRGLVDSRREIKRMMKSEKDPGNLAMLEIRQLALKLTANSM   850
 851  YGCLGFEYSRFYAQPLAELVTRQGRLALQNTVELIPQISPSIRVIYGDTD   900
 901  SVMIQTGIKDDIVKVRNLGFEIKGKVNQRYQSLELDIDGVFRAMLLLRKK   950
 951  KYAALSVVDWQGEGKVYKREVKGLDMVRRDWCPLSQHVSDAVLKRILNAE  1000
1001  GGEDILDFVIKYMKGVAQDVRSGNVYPLEEFVISKSLTKEPESYHGTGYP  1050
1051  HAVVALRMKQRKEGVRVGDLIPYVICEGDEHIDDKAYHIDEVRRSDGLSV  1100
1101  DVEWYLSSQLYPPVMRLCEHIQGFVPEQLSEAMCIASHMRTERDVKEEDT  1150
1151  ANDFSHCSIFKSRALSECFPTATALQVQCTHCQLVVPVDPHKYINDMFSS  1200
1201  REKPPPTAPFELYVCFNCGRSLPLAYLANCMTQMCHTIIRQFYCSGGNVA  1250
1251  SVRALRAQFTYLRAMFDVPQALNCPSAVKNAHRVLSLRCLGTDRKLYTLA  1300
1301  DVERFPDVEPVDPLLACAESFYRRIDHLFVSLDKLFDTP             1339

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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