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

NucPred

Fetching Q9PT84 from www.uniprot.org...

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

   1  MGSAALPHARQRWVSHALDSNRKFLIANAQMENCAIIYCNDGFCEMFGYS    50
  51  RVEVMQRPCTCDFLTGPDTTKSSIAQLTQALLGSEECKLEILYYRKDTSC   100
 101  FRCLVDVVPVKNEDGVVIMFILNFEDLAQLIAKSSGRSLHHRLSQSWRAG   150
 151  EGRRLKFSLPSLRRLKAQRNSLPTSEFDGVAIDYGKPGGDSLILRDLKTS   200
 201  PKENCVQSETESLLEKERRPSLEADPTLQHPIPKQEPPSLGPRGSYSAWG   250
 251  FIRSRPGGSFHSLRRVSSLDNFEAARSEFQRKFRERRANSEGGMGLSGKA   300
 301  SHVKPNPPNSTSDSDLMKYRTISQIPQFTLNFVEFNLEKHRSGSTTEIEI   350
 351  IAPHKVTERTQNVTEKVTQVLSLGADVLPEYKLQAPRIHRWTILHYSPFK   400
 401  AVWDWLILLLVIYTAVFTPYSAAFLLNEEQGEEKHWNCSYSCDPLNIIDL   450
 451  IVDIMFIVDIVINFRTTYVNINDEVVSHPGKIAIHYFKGWFLIDMVAAIP   500
 501  FDLLIFRSGSDETTTLIGLLKTARLLRLVRVARKLDRYSEYGAAVLFLLM   550
 551  CTFALIAHWLACIWYAIGNVERPYMEHKIGWLDNLGDQIGKRYNDSDLSS   600
 601  GPSIKDKYVTALYFTFSSLTSVGFGNVSPNTNSEKIFSICVMLIGSLMYA   650
 651  SIFGNVSAIIQRLYSGTARYHTQMLRVKEFIRFHQIPNPLRQRLEEYFQH   700
 701  AWSYTNGIDMNAVLKGFPDCLQADICLHLNRTLLQNCKAFRGASKGCLRA   750
 751  LAMKFKTTHAPPGDTLVHYGDVLTTLYFISRGSIEILKEDIVVAILGKND   800
 801  IFGEPISLYARPGKSNADVRALTYCDLHKIQREDLLEVLDMYPAFSDNFW   850
 851  SNLEITFNLRDADSVPRTPLSEEYDCTYRRVRRRKHSLCQPNKPDPDTGT   900
 901  SDAEQYHTYSELTNPQDPLSKDQWDDVGSSTTPCSQTSDDEAKPGSPTKA   950
 951  LSLVTASASGTEVSKQAAESSQSYAGTHICTTPLDIPNMFTFWEDQRPNH  1000
1001  HPEPLQHVSLVHSSRDIPLHSDYRPGQIESRLELLQAQLSRLESRMSSDI  1050
1051  NIILQLLQRQLSQVPPAYSPISPSSHNLAMYGIVPRSLEPLTPCAPLEDE  1100
1101  QQTAPGQSPSYAEVEKFHLKSRHSLSSGMHLTVASDETMTVYSEQEHHSP  1150
1151  PLLNPEPPHQRAPNTQGLLRGSRFPSLPEHLEASSEHQDIQRHLSDPVLP  1200
1201  GS                                                  1202

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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