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

NucPred

Fetching Q61526 from www.uniprot.org...

The NucPred score for your sequence is 0.52 (see score help below)

   1  MSAIGTLQVLGFLLSLARGSEMGNSQAVCPGTLNGLSVTGDADNQYQTLY    50
  51  KLYEKCEVVMGNLEIVLTGHNADLSFLQWIREVTGYVLVAMNEFSVLPLP   100
 101  NLRVVRGTQVYDGKFAIFVMLNYNTNSSHALRQLRFTQLTEILLGGVYIE   150
 151  KNDKLCHMDTIDWRDIVRVPDAEIVVKNNGGNCPPCHEVCKGRCWGPGPE   200
 201  DCQILTKTICAPQCNGRCFGPNPNQCCHDECAGGCSGPQDTDCFACRHFN   250
 251  DSGACVPRCPAPLVYNKLTFQLEPNPHIKYQYGGVCVASCPHNFVVDQTF   300
 301  CVRACPADKMEVDKNGLKMCEPCRGLCPKACEGTGSGSRYQTVDSSNIDG   350
 351  FVNCTKILGNLDFLITGLNGDPWHKIPALDPEKLNVFRTVREITGYLNIQ   400
 401  SWPPHMHNFSVFSNLTTIGGRSLYNRGFSLLIMKNLNVTSLGFRSLKEIS   450
 451  AGRVYISANQQLCYHHSLNWTRLLRGPAEERLDIKYNRPLGECVAEGKVC   500
 501  DPLCSSGGCWGPGPGQCLSCRNYSREGVCVTHCNVLQGEPREFVHEAHCF   550
 551  SCHPECQPMEGTSTCNGSGSDACARCAHFRDGPHCVNSCPHGILGAKGPI   600
 601  YKYPDAQNECRPCHENCTQGCKGPELQDCLGQAEVLMSKPHLVIAVTVGL   650
 651  TVIFLILGGSFLYWRGRRIQNKRAMRRYLERGESIEPLDPSEKANKVLAR   700
 701  IFKETELRKLKVLGSGVFGTVHKGIWIPEGESIKIPVCIKVIEDKSGRQS   750
 751  FQAVTDHMLAVGSLDHAHIVRLLGLCPGSSLQLVTQYLPLGSLLDHVRQH   800
 801  RETLGPQLLLNWGVQIAKGMYYLEEHSMVHRDLALRNVMLKSPSQVQVAD   850
 851  FGVADLLPPDDKQLLHSEAKTPIKWMALESIHFGKYTHQSDVWSYGVTVW   900
 901  ELMTFGAEPYAGLRLAEIPDLLEKGERLAQPQICTIDVYMVMVKCWMIDE   950
 951  NIRPTFKELANEFTRMARDPPRYLVIKRASGPGIPPAAEPSALSTKELQD  1000
1001  AELEPDLDLDLDVEVEEEGLATTLGSALSLPTGTLTRPRGSQSLLSPSSG  1050
1051  YMPMNQSNLGEACLDSAVLGGREQFSRPISLHPIPRGRQTSESSEGHVTG  1100
1101  SEAELQERVSMCRSRSRSRSPRPRGDSAYHSQRHSLLTPVTPLSPPGLEE  1150
1151  EDGNGYVMPDTHLRGTSSSREGTLSSVGLSSVLGTEEEDEDEEYEYMNRK  1200
1201  RRGSPARPPRPGSLEELGYEYMDVGSDLSASLGSTQSCPLHPMAIVPSAG  1250
1251  TTPDEDYEYMNRRRGAGGSGGDYAAMGACPAAEQGYEEMRAFQGPGHQAP  1300
1301  HVRYARLKTLRSLEATDSAFDNPDYWHSRLFPKANAQRI             1339

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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