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

NucPred

Fetching P70268 from www.uniprot.org...

The NucPred score for your sequence is 0.50 (see score help below)

   1  MAGDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLKREIRKEL    50
  51  KLKEGAENLRRATTDLGRSLAPVELLLRGSARRLDLLHQQLQELHAHVVL   100
 101  PDPAAGSDATQSLAEGSPICSSTNLSRVAGLEKQLAIELKVKQGAENMIQ   150
 151  TYSNGSSKDRKLLLTAQQMLQDSKTKIDIIRMQLRRALQALQAGELESQA   200
 201  APDEAQGDPELGAVELRIEELRHHFRVEHAVAEGAKNVLRLLSGAKAPDR   250
 251  KAVSEAQEKLTESNQKLGLLRESLERRLGELPADHPKGRLLREELTAASS   300
 301  SAFSAILPGPFPATHYSTLSKPAPLTGTLEVRVVGCKNLPETIPWSPPPS   350
 351  VGASGTPESRTPFLSRPARGLYSRSGSLSGRSSLRGEAENATEVSTVLKL   400
 401  DNTVVGQTAWKPCGPNAWDQSFTLELERARELELAVFWRDQRGLCALKFL   450
 451  KLEDFLDNERHEVQLDMEPQGCLVAEVTFRNPIIERIPRLQRQKKIFSKQ   500
 501  QGKAFQRARQMNIDVATWVRLLRRLIPSAVATGTFSPNASPGAEIRHTGD   550
 551  ISMEKLNLGADSDSSSQKSPPGLPSTSCSLSSPTHESTTSPELPSETQET   600
 601  PGPGLCSPLRKSPLTLEDFKFLAVLGRGHFGKVLLSEFRSSGELFAIKAL   650
 651  KKGDIVARDEVESLMCEKRILAAVTRAGHPFLVNLFGCFQTPEHVCFVME   700
 701  YSAGGDLMLHIHSDVFSEPRAVFYSACVVLGLQFLHEHKIVYRDLKLDNL   750
 751  LLDTEGYVKIADFGLCKEGMGYGDRTSTFCGTPEFLAPEVLTDTSYTRAV   800
 801  DWWGLGVLLYEMLVGESPFPGDDEEEVFDSIVNDEVRYPRFLSAEAIGIM   850
 851  RRLLRRNPERRLGSTERDAEDVKKQPFFRSLGWDVLLARRLPPPFVPTLS   900
 901  GRTDVSNFDEEFTGEAPTLSPPRDARPLTAAEQAAFRDFDFVAGGY       946

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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