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

NucPred

Fetching Q9BQG0 from www.uniprot.org...

The NucPred score for your sequence is 0.97 (see score help below)

   1  MESRDPAQPMSPGEATQSGARPADRYGLLKHSREFLDFFWDIAKPEQETR    50
  51  LAATEKLLEYLRGRPKGSEMKYALKRLITGLGVGRETARPCYSLALAQLL   100
 101  QSFEDLPLCSILQQIQEKYDLHQVKKAMLRPALFANLFGVLALFQSGRLV   150
 151  KDQEALMKSVKLLQALAQYQNHLQEQPRKALVDILSEVSKATLQEILPEV   200
 201  LKADLNIILSSPEQLELFLLAQQKVPSKLKKLVGSVNLFSDENVPRLVNV   250
 251  LKMAASSVKKDRKLPAIALDLLRLALKEDKFPRFWKEVVEQGLLKMQFWP   300
 301  ASYLCFRLLGAALPLLTKEQLHLVMQGDVIRHYGEHVCTAKLPKQFKFAP   350
 351  EMDDYVGTFLEGCQDDPERQLAVLVAFSSVTNQGLPVTPTFWRVVRFLSP   400
 401  PALQGYVAWLRAMFLQPDLDSLVDFSTNNQKKAQDSSLHMPERAVFRLRK   450
 451  WIIFRLVSIVDSLHLEMEEALTEQVARFCLFHSFFVTKKPTSQIPETKHP   500
 501  FSFPLENQAREAVSSAFFSLLQTLSTQFKQAPGQTQGGQPWTYHLVQFAD   550
 551  LLLNHSHNVTTVTPFTAQQRQAWDRMLQTLKELEAHSAEARAAAFQHLLL   600
 601  LVGIHLLKSPAESCDLLGDIQTCIRKSLGEKPRRSRTKTIDPQEPPWVEV   650
 651  LVEILLALLAQPSHLMRQVARSVFGHICSHLTPRALQLILDVLNPETSED   700
 701  ENDRVVVTDDSDERRLKGAEDKSEEGEDNRSSESEEESEGEESEEEERDG   750
 751  DVDQGFREQLMTVLQAGKALGGEDSENEEELGDEAMMALDQSLASLFAEQ   800
 801  KLRIQARRDEKNKLQKEKALRRDFQIRVLDLVEVLVTKQPENALVLELLE   850
 851  PLLSIIRRSLRSSSSKQEQDLLHKTARIFTHHLCRARRYCHDLGERAGAL   900
 901  HAQVERLVQQAGRQPDSPTALYHFNASLYLLRVLKGNTAEGCVHETQEKQ   950
 951  KAGTDPSHMPTGPQAASCLDLNLVTRVYSTALSSFLTKRNSPLTVPMFLS  1000
1001  LFSRHPVLCQSLLPILVQHITGPVRPRHQACLLLQKTLSMREVRSCFEDP  1050
1051  EWKQLMGQVLAKVTENLRVLGEAQTKAQHQQALSSLELLNVLFRTCKHEK  1100
1101  LTLDLTVLLGVLQGQQQSLQQGAHSTGSSRLHDLYWQAMKTLGVQRPKLE  1150
1151  KKDAKEIPSATQSPISKKRKKKGFLPETKKRKKRKSEDGTPAEDGTPAAT  1200
1201  GGSQPPSMGRKKRNRTKAKVPAQANGTPTTKSPAPGAPTRSPSTPAKSPK  1250
1251  LQKKNQKPSQVNGAPGSPTEPAGQKQHQKALPKKGVLGKSPLSALARKKA  1300
1301  RLSLVIRSPSLLQSGAKKKAQVRKAGKP                        1328

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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