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

NucPred

Fetching O75334 from www.uniprot.org...

The NucPred score for your sequence is 0.89 (see score help below)

   1  MMCEVMPTINEDTPMSQRGSQSSGSDSDSHFEQLMVNMLDERDRLLDTLR    50
  51  ETQESLSLAQQRLQDVIYDRDSLQRQLNSALPQDIESLTGGLAGSKGADP   100
 101  PEFAALTKELNACREQLLEKEEEISELKAERNNTRLLLEHLECLVSRHER   150
 151  SLRMTVVKRQAQSPSGVSSEVEVLKALKSLFEHHKALDEKVRERLRVSLE   200
 201  RVSALEEELAAANQEIVALREQNVHIQRKMASSEGSTESEHLEGMEPGQK   250
 251  VHEKRLSNGSIDSTDETSQIVELQELLEKQNYEMAQMKERLAALSSRVGE   300
 301  VEQEAETARKDLIKTEEMNTKYQRDIREAMAQKEDMEERITTLEKRYLSA   350
 351  QRESTSIHDMNDKLENELANKEAILRQMEEKNRQLQERLELAEQKLQQTM   400
 401  RKAETLPEVEAELAQRIAALTKAEERHGNIEERMRHLEGQLEEKNQELQR   450
 451  ARQREKMNEEHNKRLSDTVDRLLTESNERLQLHLKERMAALEEKNVLIQE   500
 501  SETFRKNLEESLHDKERLAEEIEKLRSELDQLKMRTGSLIEPTIPRTHLD   550
 551  TSAELRYSVGSLVDSQSDYRTTKVIRRPRRGRMGVRRDEPKVKSLGDHEW   600
 601  NRTQQIGVLSSHPFESDTEMSDIDDDDRETIFSSMDLLSPSGHSDAQTLA   650
 651  MMLQEQLDAINKEIRLIQEEKESTELRAEEIENRVASVSLEGLNLARVHP   700
 701  GTSITASVTASSLASSSPPSGHSTPKLTPRSPAREMDRMGVMTLPSDLRK   750
 751  HRRKIAVVEEDGREDKATIKCETSPPPTPRALRMTHTLPSSYHNDARSSL   800
 801  SVSLEPESLGLGSANSSQDSLHKAPKKKGIKSSIGRLFGKKEKARLGQLR   850
 851  GFMETEAAAQESLGLGKLGTQAEKDRRLKKKHELLEEARRKGLPFAQWDG   900
 901  PTVVAWLELWLGMPAWYVAACRANVKSGAIMSALSDTEIQREIGISNPLH   950
 951  RLKLRLAIQEMVSLTSPSAPPTSRTPSGNVWVTHEEMENLAAPAKTKESE  1000
1001  EGSWAQCPVFLQTLAYGDMNHEWIGNEWLPSLGLPQYRSYFMECLVDARM  1050
1051  LDHLTKKDLRVHLKMVDSFHRTSLQYGIMCLKRLNYDRKELERRREASQH  1100
1101  EIKDVLVWSNDRVIRWIQAIGLREYANNILESGVHGSLIALDENFDYSSL  1150
1151  ALLLQIPTQNTQARQILEREYNNLLALGTERRLDESDDKNFRRGSTWRRQ  1200
1201  FPPREVHGISMMPGSSETLPAGFRLTTTSGQSRKMTTDVASSRLQRLDNS  1250
1251  TVRTYSC                                             1257

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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