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

NucPred

Fetching Q6P4R8 from www.uniprot.org...

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

   1  MDSLDHMLTDPLELGPCGDGHGTRIMEDCLLGGTRVSLPEDLLEDPEIFF    50
  51  DVVSLSTWQEVLSDSQREHLQQFLPQFPEDSAEQQNELILALFSGENFRF   100
 101  GNPLHIAQKLFRDGHFNPEVVKYRQLCFKSQYKRYLNSQQQYFHRLLKQI   150
 151  LASRSDLLEMARRSGPALPFRQKRPSPSRTPEEREWRTQQRYLKVLREVK   200
 201  EECGDTALSSDEEDLSSWLPSSPARSPSPAVPLRVVPTLSTTDMKTADKV   250
 251  ELGDSDLKIMLKKHHEKRKHQPDHPDLLTGDLTLNDIMTRVNAGRKGSLA   300
 301  ALYDLAVLKKKVKEKEEKKKKKIKTIKSEAEDLAEPLSSTEGVAPLSQAP   350
 351  SPLAIPAIKEEPLEDLKPCLGINEISSSFFSLLLEILLLESQASLPMLEE   400
 401  RVLDWQSSPASSLNSWFSAAPNWAELVLPALQYLAGESRAVPSSFSPFVE   450
 451  FKEKTQQWKLLGQSQDNEKELAALFQLWLETKDQAFCKQENEDSSDATTP   500
 501  VPRVRTDYVVRPSTGEEKRVFQEQERYRYSQPHKAFTFRMHGFESVVGPV   550
 551  KGVFDKETSLNKAREHSLLRSDRPAYVTILSLVRDAAARLPNGEGTRAEI   600
 601  CELLKDSQFLAPDVTSTQVNTVVSGALDRLHYEKDPCVKYDIGRKLWIYL   650
 651  HRDRSEEEFERIHQAQAAAAKARKALQQKPKPPSKVKSSSKESSIKVLSS   700
 701  GPSEQSQMSLSDSSMPPTPVTPVTPTTPALPAIPISPPPVSAVNKSGPST   750
 751  VSEPAKSSSGVLLVSSPTMPHLGTMLSPASSQTAPSSQAAARVVSHSGSA   800
 801  GLSQVRVVAQPSLPAVPQQSGGPAQTLPQMPAGPQIRVPATATQTKVVPQ   850
 851  TVMATVPVKAQTTAATVQRPGPGQTGLTVTSLPATASPVSKPATSSPGTS   900
 901  APSASTAAVIQNVTGQNIIKQVAITGQLGVKPQTGNSIPLTATNFRIQGK   950
 951  DVLRLPPSSITTDAKGQTVLRITPDMMATLAKSQVTTVKLTQDLFGTGGN  1000
1001  TTGKGISATLHVTSNPVHAADSPAKASSASAPSSTPTGTTVVKVTPDLKP  1050
1051  TEASSSAFRLMPALGVSVADQKGKSTVASSEAKPAATIRIVQGLGVMPPK  1100
1101  AGQTITVATHAKQGASVASGSGTVHTSAVSLPSMNAAVSKTVAVASGAAS  1150
1151  TPISISTGAPTVRQVPVSTTVVSTSQAGKLPTRITVPLSVISQPMKGKSV  1200
1201  VTAPIIKGNLGANLSGLGRNIILTTMPAGTKLIAGNKPVSFLTAQQLQQL  1250
1251  QQQGQATQVRIQTVPASHLQQGTASGSSKAVSTVVVTTAPSPKQAPEQQ   1299

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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