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

NucPred

Fetching Q9ER74 from www.uniprot.org...

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

   1  MSRRKQAKPQHFQSDPEVASLPRRDGDTEKGQPSRPTKSKDAHVCGRCCA    50
  51  EFFELSDLLLHKKSCTKNQLVLIVNESPASPAKTFPPGPSLNDPDDQMKD   100
 101  AANKADQEDCSDLSEPKGLDREESMEVEVPVATTTTTTTGGSGGSGGSTL   150
 151  SGVTNITTPSCHSGCSSGTSAITTSLPQLGDLTTLGNFSVINSNVIIENL   200
 201  QSTKVAVAQFSQEARCGGASGGKLLISTLMEQLLALQQQQIHQLQLIEQI   250
 251  RHQILLLASQSADLPAAPSIPSQGTLRTSANPLTTLSSHLSQQLAVAAGL   300
 301  AQSLASQSANISGVKQLPHVQLPQSSSGTSIVPPSGGTSPNMSIVTAAVP   350
 351  TPSSEKVASNAGASHVSSPAVSASSSPAFAISSLLSPESNPLLPQPTPAN   400
 401  AVFPTPLPNIATTAEDLNSLSALAQQRKSKPPNVTAFEAKSTSDEAFFKH   450
 451  KCRFCAKVFGSDSALQIHLRSHTGERPFKCNICGNRFSTKGNLKVHFQRH   500
 501  KEKYPHIQMNPYPVPEHLDNVPTSTGIPYGMSIPSEKPVTSWLDTKPVLP   550
 551  TLTTSVGLPLPPTLPSLTPFIKTEEPAPIPISHSAASPQGSVKSDSGAPD   600
 601  LATRNPSGVPEEVEGSAVPPFGGKGEESNMASSAVPTAGNSTLNSPVADG   650
 651  GPGGTTFTNPLLPLMSEQFKAKFPFGGLLDSAQASETSKLQQLVENIDKK   700
 701  ATDPNECIICHRVLSCQSALKMHYRTHTGERPFKCKICGRAFTTKGNLKT   750
 751  HYSVHRAMPPLRVQHSCPICQKKFTNAVVLQQHIRMHMGGQIPNTPVPDN   800
 801  YPESMESDTGSFDEKNFDDLDNFSDENMEECPEGSIPDTPKSADASQDSL   850
 851  SSSPLPLEMSSIAALENQMKMINAGLAEQLQASLKSVENGSMEGDVLTND   900
 901  SSSVGGDMESQSAGSPAISESTSSMQALSPSNSTQEFHKSPGMEEKPQRV   950
 951  GPGEFANGLSPTPVNGGALDLTSSHAEKIIKEDSLGILFPFRDRGKFKNT  1000
1001  ACDICGKTFACQSALDIHYRSHTKERPFICTVCNRGFSTKGNLKQHMLTH  1050
1051  QMRDLPSQLFEPSSNLGPNQNSAVIPANSLSSLIKTEVNGFVHVSPQDSK  1100
1101  DAPTSHVPQGPLSSSATSPVLLPALPRRTPKQHYCNTCGKTFSSSSALQI  1150
1151  HERTHTGEKPFACTICGRAFTTKGNLKVHMGTHMWNSTPARRGRRLSVDG  1200
1201  PMTFLGGNPVKFPEMFQKDLAARSGSGDPSSFWNQYTAALSNGLAMKANE  1250
1251  ISVIQNGGIPPIPGSLGSGSSPISGLTGNVEKLGNSEPSAPLAGLEKMAS  1300
1301  SENGTNFRFTRFVEDSKEIVTS                              1322

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.