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

NucPred

Fetching P34389 from www.uniprot.org...

The NucPred score for your sequence is 0.13 (see score help below)

   1  MRQGGGGGERMVSVLFLLLIHLALCQAKCVMTECDGEEDSNHPPCKTNKS    50
  51  TYLPITVTRSLNPTYMARFEKYCSYLVQEEDKAQVCCTELQLKGMTDRIS   100
 101  NAATILGSCPSCFDNFAKLWCQFTCSPDQSKFMKVMETTGPKNVVVKMEF   150
 151  KVNRDFVEGLYESCRHTWFANGLALRLMSLGGKVSFENFYGFMGTKNLAQ   200
 201  SIPINTEFQFSRMKNAMNIPTTPCHKSAGPKVPACGAIDCPTNAHQLVDI   250
 251  SKVEHLGTKVFHPHFPDFEWLLKICGCLALTVLLVFILKYSCHRRSAPNG   300
 301  EDGCYVDLGKGNLEVQFEGLCARYANAVIKHPLIFVSLGLIVAAACCSGN   350
 351  FKFHSLTHSVDQVSAADGETRRNEKKFIHSFGPNHRIEQIFINLPPTTKS   400
 401  MFNMPLFEEMFQLVGNIQNLTACYGNSSVKLDDICYKPIGKNHGCAIMSP   450
 451  TNYFQNKWTNFENAGPPTIDDEIFDDQHWEHLKYCIRNPLTVSTYSEMSC   500
 501  FGEFSGPIDPILVFGGSNESIKGAEMYYTARTIMITVLIRGPEDQAIAWE   550
 551  TAFLNMMSRYEMKHANFTFMTETSVAEEIHTAVETDKIVSVIACAAVLIW   600
 601  VITMLGINHWPESSILSALVHHKLLISISAVMISVISVWCSIGMFSLFGV   650
 651  HATDNAIVVLFFVITCLGINRIFVIIRTFQANGHCYGLPNISYREMNHRI   700
 701  SNVMRRSIPIVLTNSLICSTCLFLAGGVLPYVSVSMPAVEVFARHAGLAI   750
 751  LMDTAFYLLVMLPLFQYDARREMSGKCEIWPWYELSNESKINLCMEAVDG   800
 801  NLRSPVDWFKLAIAPLLLKKICRIWIATFFFVSLIIACYCTLCLEFGFNQ   850
 851  VMAFSETSYLTKHFQNMNENLNIGPPLWFVVEGDVKWHDPKMQNKFCTLA   900
 901  GCDDNSMGNKIRSLAYAENYKGNYLHGDVNIWLDSYLQFMHPRGSCCKMD   950
 951  GKQFCDPSNATHCSSCSSSSVASLTTTEYEFYRNLHHFLETPPSIQCAHG  1000
1001  GMALAKPAINLTRNGKIQSAYFSTFFKKLNLSDSIQLYDAWRFAKYLADD  1050
1051  IERELEIPGVKVYVYSTFFPYYEQYLTLSTTVYTLVVLVLFVAFVTISLF  1100
1101  LRVNLAGSLVTVFVLLSSYLHLMEWMYLLGITVNVVSVINMAMSLGIAVE  1150
1151  FFGQMLHGFYNSKKPKREERAFAALVSNGSTTLSGIFPAIMITAGCLSFA  1200
1201  DSRVLITYFCNQLVGIGLVCAVHGVVYMPTLLAIFGSDFYQNVSSEEEST  1250
1251  DEAELQDTPPSTTSSTSSTSETSV                            1274

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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