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

NucPred

Fetching Q9BG98 from www.uniprot.org...

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

   1  MANGGGGGGGSSGGGGGGGGGGSGLRMSSNIHASHLSLDASSSSSSSSSS    50
  51  SSSSSSSSSSSVHEPKMDALIIPVTMEVPCDSRGQRMWWAFLASSMVTFF   100
 101  GGLFIILLWRTLKYLWTVCCHCGGKAKEAQKINNGSSQADGTLKPVDEKE   150
 151  EAVAAEVGWMTSVKDWAGVMISAQTLTGRVLVVLVFALSIGALVIYFIDS   200
 201  SNPIESCQNFYKDFTLQIDMAFNVFFLLYFGLRFIAANDKLWFWLEVNSV   250
 251  VDFFTVPPVFVSVYLNRSWLGLRFLRALRLIQFSEILQFLNILKTSNSIK   300
 301  LVNLLSIFISTWLTAAGFIHLVENSGDPWENFQNNQALTYWECVYLLMVT   350
 351  MSTVGYGDVYAKTTLGRLFMVFFILGGLAMFASYVPEIIELIGNRKKYGG   400
 401  SYSAVSGRKHIVVCGHITLESVSNFLKDFLHKDRDDVNVEIVFLHNISPN   450
 451  LELEALFKRHFTQVEFYQGSVLNPHDLARVKIESADACLILANKYCADPD   500
 501  AEDASNIMRVISIKNYHPKIRIITQMLQYHNKAHLLNIPSWNWKEGDDAI   550
 551  CLAELKLGFIAQSCLAQGLSTMLANLFSMRSFIKIEEDTWQKYYLEGVSN   600
 601  EMYTEYLSSAFVGLSFPTVCELCFVKLKLLMIAIEYKSANRESRILINPG   650
 651  NHLKIQEGTLGFFIASDAKEVKRAFFYCKACHDDITDPKRIKKCGCKRLE   700
 701  DEQPSTLSPKKKQRNGGMRNSPNSSPKLMRHDPLLIPGNDQIDNMDSNVK   750
 751  KYDSTGMFHWCAPKEIEKVILTRSEAAMTVLSGHVVVCIFGDVSSALIGL   800
 801  RNLVMPLRASNFHYHELKHIVFVGSIEYLKREWETLHNFPKVSILPGTPL   850
 851  SRADLRAVNINLCDMCVILSANQNNIDDTSLQDKECILASLNIKSMQFDD   900
 901  SIGVLQANSQGFTPPGMDRSSPDNSPVHGMLRQPSITTGVNIPIITELVN   950
 951  DTNVQFLDQDDDDDPDTELYLTQPFACGTAFAVSVLDSLMSATYFNDNIL  1000
1001  TLIRTLVTGGATPELEALIAEENALRGGYSTPQTLANRDRCRVAQLALLD  1050
1051  GPFADLGDGGCYGDLFCKALKTYNMLCFGIYRLRDAHLSTPSQCTKRYVI  1100
1101  TNPPYEFELVPTDLIFCLMQFDHNAGQSRASLSHSSHSSQSSSKKSSSVH  1150
1151  SIPSTANRQNRPKSRESRDKQKYVQEERL                       1179

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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