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

NucPred

Fetching Q9NSC2 from www.uniprot.org...

The NucPred score for your sequence is 0.75 (see score help below)

   1  MSRRKQAKPQHFQSDPEVASLPRRDGDTEKGQPSRPTKSKDAHVCGRCCA    50
  51  EFFELSDLLLHKKNCTKNQLVLIVNENPASPPETFSPSPPPDNPDEQMND   100
 101  TVNKTDQVDCSDLSEHNGLDREESMEVEAPVANKSGSGTSSGSHSSTAPS   150
 151  SSSSSSSSSGGGGSSSTGTSAITTSLPQLGDLTTLGNFSVINSNVIIENL   200
 201  QSTKVAVAQFSQEARCGGASGGKLAVPALMEQLLALQQQQIHQLQLIEQI   250
 251  RHQILLLASQNADLPTSSSPSQGTLRTSANPLSTLSSHLSQQLAAAAGLA   300
 301  QSLASQSASISGVKQLPPIQLPQSSSGNTIIPSNSGSSPNMNILAAAVTT   350
 351  PSSEKVASSAGASHVSNPAVSSSSSPAFAISSLLSPASNPLLPQQASANS   400
 401  VFPSPLPNIGTTAEDLNSLSALAQQRKSKPPNVTAFEAKSTSDEAFFKHK   450
 451  CRFCAKVFGSDSALQIHLRSHTGERPFKCNICGNRFSTKGNLKVHFQRHK   500
 501  EKYPHIQMNPYPVPEHLDNIPTSTGIPYGMSIPPEKPVTSWLDTKPVLPT   550
 551  LTTSVGLPLPPTLPSLIPFIKTEEPAPIPISHSATSPPGSVKSDSGGPES   600
 601  ATRNLGGLPEEAEGSTLPPSGGKSEESGMVTNSVPTASSSVLSSPAADCG   650
 651  PAGSATTFTNPLLPLMSEQFKAKFPFGGLLDSAQASETSKLQQLVENIDK   700
 701  KATDPNECIICHRVLSCQSALKMHYRTHTGERPFKCKICGRAFTTKGNLK   750
 751  THYSVHRAMPPLRVQHSCPICQKKFTNAVVLQQHIRMHMGGQIPNTPVPD   800
 801  SYSESMESDTGSFDEKNFDDLDNFSDENMEDCPEGSIPDTPKSADASQDS   850
 851  LSSSPLPLEMSSIAALENQMKMINAGLAEQLQASLKSVENGSIEGDVLTN   900
 901  DSSSVGGDMESQSAGSPAISESTSSMQALSPSNSTQEFHKSPSIEEKPQR   950
 951  AVPSEFANGLSPTPVNGGALDLTSSHAEKIIKEDSLGILFPFRDRGKFKN  1000
1001  TACDICGKTFACQSALDIHYRSHTKERPFICTVCNRGFSTKGNLKQHMLT  1050
1051  HQMRDLPSQLFEPSSNLGPNQNSAVIPANSLSSLIKTEVNGFVHVSPQDS  1100
1101  KDTPTSHVPSGPLSSSATSPVLLPALPRRTPKQHYCNTCGKTFSSSSALQ  1150
1151  IHERTHTGEKPFACTICGRAFTTKGNLKVHMGTHMWNSTPARRGRRLSVD  1200
1201  GPMTFLGGNPVKFPEMFQKDLAARSGSGDPSSFWNQYAAALSNGLAMKAN  1250
1251  EISVIQNGGIPPIPGSLGSGNSSPVSGLTGNLERLQNSEPNAPLAGLEKM  1300
1301  ASSENGTNFRFTRFVEDSKEIVTS                            1324

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.