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

NucPred

Fetching Q14005 from www.uniprot.org...

The NucPred score for your sequence is 0.72 (see score help below)

   1  MESHSRAGKSRKSAKFRSISRSLMLCNAKTSDDGSSPDEKYPDPFEISLA    50
  51  QGKEGIFHSSVQLADTSEAGPSSVPDLALASEAAQLQAAGNDRGKTCRRI   100
 101  FFMKESSTASSREKPGKLEAQSSNFLFPKACHQRARSNSTSVNPYCTREI   150
 151  DFPMTKKSAAPTDRQPYSLCSNRKSLSQQLDCPAGKAAGTSRPTRSLSTA   200
 201  QLVQPSGGLQASVISNIVLMKGQAKGLGFSIVGGKDSIYGPIGIYVKTIF   250
 251  AGGAAAADGRLQEGDEILELNGESMAGLTHQDALQKFKQAKKGLLTLTVR   300
 301  TRLTAPPSLCSHLSPPLCRSLSSSTCITKDSSSFALESPSAPISTAKPNY   350
 351  RIMVEVSLQKEAGVGLGIGLCSVPYFQCISGIFVHTLSPGSVAHLDGRLR   400
 401  CGDEIVEISDSPVHCLTLNEVYTILSHCDPGPVPIIVSRHPDPQVSEQQL   450
 451  KEAVAQAVENTKFGKERHQWSLEGVKRLESSWHGRPTLEKEREKNSAPPH   500
 501  RRAQKVMIRSSSDSSYMSGSPGGSPGSGSAEKPSSDVDISTHSPSLPLAR   550
 551  EPVVLSIASSRLPQESPPLPESRDSHPPLRLKKSFEILVRKPMSSKPKPP   600
 601  PRKYFKSDSDPQKSLEERENSSCSSGHTPPTCGQEARELLPLLLPQEDTA   650
 651  GRSPSASAGCPGPGIGPQTKSSTEGEPGWRRASPVTQTSPIKHPLLKRQA   700
 701  RMDYSFDTTAEDPWVRISDCIKNLFSPIMSENHGHMPLQPNASLNEEEGT   750
 751  QGHPDGTPPKLDTANGTPKVYKSADSSTVKKGPPVAPKPAWFRQSLKGLR   800
 801  NRASDPRGLPDPALSTQPAPASREHLGSHIRASSSSSSIRQRISSFETFG   850
 851  SSQLPDKGAQRLSLQPSSGEAAKPLGKHEEGRFSGLLGRGAAPTLVPQQP   900
 901  EQVLSSGSPAASEARDPGVSESPPPGRQPNQKTLPPGPDPLLRLLSTQAE   950
 951  ESQGPVLKMPSQRARSFPLTRSQSCETKLLDEKTSKLYSISSQVSSAVMK  1000
1001  SLLCLPSSISCAQTPCIPKEGASPTSSSNEDSAANGSAETSALDTGFSLN  1050
1051  LSELREYTEGLTEAKEDDDGDHSSLQSGQSVISLLSSEELKKLIEEVKVL  1100
1101  DEATLKQLDGIHVTILHKEEGAGLGFSLAGGADLENKVITVHRVFPNGLA  1150
1151  SQEGTIQKGNEVLSINGKSLKGTTHHDALAILRQAREPRQAVIVTRKLTP  1200
1201  EAMPDLNSSTDSAASASAASDVSVESTAEATVCTVTLEKMSAGLGFSLEG  1250
1251  GKGSLHGDKPLTINRIFKGAASEQSETVQPGDEILQLGGTAMQGLTRFEA  1300
1301  WNIIKALPDGPVTIVIRRKSLQSKETTAAGDS                    1332

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.)

Go back to the NucPred Home Page.