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

NucPred

Fetching Q9NJA9 from www.uniprot.org...

The NucPred score for your sequence is 0.81 (see score help below)

   1  MSDTLYRSPSMAIRSSTADMGALTSMSVADLGSLTRLEDKIRLLQDDFES    50
  51  ERELRNRIERERADLSVQLIALTDRLQDAECATDSQIESNRKREVELSKL   100
 101  RKLLEESQLENEDAMNVLRKKHQDVCLDYTEQIEQLQKKNSKIDRERQRL   150
 151  QHEVIELTATIDQLQKDKHVAEKMAQKFEQQTIELSNKVEDLNKHVNDLA   200
 201  QQRQRLQAENSDLLAEIHDQKVQLDNLQHVKYQLAQQLEESRRRLEDAER   250
 251  ERSQMQAQLHQVQLELDSVRVALDEESAARVEAEHKLSLANTEITQWKSK   300
 301  FDAEVALHHEEVEDLRKKMMQKQAEYEEQIEIMLQKVSQLEKAKARLQSE   350
 351  VEVLIVDLEKAQNTIAILERAKEQLEKQVLEMKSRIDELLVELEAAQREA   400
 401  RAALAELQKMKQLYEKAVEQKEALARENKKLQDDLHEANEALADANRKLH   450
 451  ELDLENARLAGEIRDLQVALKESEAARRDAEARAQRALAELQQVRIEMER   500
 501  RLQEKEEEMEALRKSMQFEIDRLTAALADAEARMKAEIARLRKKYQAEIA   550
 551  ELEMTVDNLNRANLEAQKTIKKQSEQIIQLQANLEDTQRQLQQTLDQYAL   600
 601  AQRKISALSAELEECKTALDNAIRARKQAEADLEEAHVRISDLTSINSNL   650
 651  TAIKNKLETELSTAQADLDEVTKELHAADERANRALADAARAVQELHEEQ   700
 701  EHSMKIDALRKSLEEQVKQLQVQIQEAEAAALLGGKRVIAKLETRIRDLE   750
 751  VALDEETRRHKETQSALRKKDRRIKEVQMQIDEEHKMFVMAQDTADRMLE   800
 801  KLNIQKRQLGEAEAMTMQNLQRVRRYQRELEDAEGRADQAESSLNLIRAK   850
 851  HRGTVAVGKATDVYVVEED                                  869

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.