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

NucPred

Fetching P49687 from www.uniprot.org...

The NucPred score for your sequence is 0.65 (see score help below)

   1  MFNKSVNSGFTFGNQNTSTPTSTPAQPSSSLQFPQKSTGLFGNVNVNANT    50
  51  STPSPSGGLFNANSNANSISQQPANNSLFGNKPAQPSGGLFGATNNTTSK   100
 101  SAGSLFGNNNATANSTGSTGLFSGSNNIASSTQNGGLFGNSNNNNITSTT   150
 151  QNGGLFGKPTTTPAGAGGLFGNSSSTNSTTGLFGSNNTQSSTGIFGQKPG   200
 201  ASTTGGLFGNNGASFPRSGETTGTMSTNPYGINISNVPMAVADMPRSITS   250
 251  SLSDVNGKSDAEPKPIENRRTYSFSSSVSGNAPLPLASQSSLVSRLSTRL   300
 301  KATQKSTSPNEIFSPSYSKPWLNGAGSAPLVDDFFSSKMTSLAPNENSIF   350
 351  PQNGFNFLSSQRADLTELRKLKIDSNRSAAKKLKLLSGTPAITKKHMQDE   400
 401  QDSSENEPIANADSVTNIDRKENRDNNLDNTYLNGKEQSNNLNKQDGENT   450
 451  LQHEKSSSFGYWCSPSPEQLERLSLKQLAAVSNFVIGRRGYGCITFQHDV   500
 501  DLTAFTKSFREELFGKIVIFRSSKTVEVYPDEATKPMIGHGLNVPAIITL   550
 551  ENVYPVDKKTKKPMKDTTKFAEFQVFDRKLRSMREMNYISYNPFGGTWTF   600
 601  KVNHFSIWGLVNEEDAEIDEDDLSKQEDGGEQPLRKVRTLAQSKPSDKEV   650
 651  ILKTDGTFGTLSGKDDSIVEEKAYEPDLSDADFEGIEASPKLDVSKDWVE   700
 701  QLILAGSSLRSVFATSKEFDGPCQNEIDLLFSECNDEIDNAKLIMKERRF   750
 751  TASYTFAKFSTGSMLLTKDIVGKSGVSIKRLPTELQRKFLFDDVYLDKEI   800
 801  EKVTIEARKSNPYPQISESSLLFKDALDYMEKTSSDYNLWKLSSILFDPV   850
 851  SYPYKTDNDQVKMALLKKERHCRLTSWIVSQIGPEIEEKIRNSSNEIEQI   900
 901  FLYLLLNDVVRASKLAIESKNGHLSVLISYLGSNDPRIRDLAELQLQKWS   950
 951  TGGCSIDKNISKIYKLLSGSPFEGLFSLKELESEFSWLCLLNLTLCYGQI  1000
1001  DEYSLESLVQSHLDKFSLPYDDPIGVIFQLYAANENTEKLYKEVRQRTNA  1050
1051  LDVQFCWYLIQTLRFNGTRVFSKETSDEATFAFAAQLEFAQLHGHSLFVS  1100
1101  CFLNDDKAAEDTIKRLVMREITLLRASTNDHILNRLKIPSQLIFNAQALK  1150
1151  DRYEGNYLSEVQNLLLGSSYDLAEMAIVTSLGPRLLLSNNPVQNNELKTL  1200
1201  REILNEFPDSERDKWSVSINVFEVYLKLVLDNVETQETIDSLISGMKIFY  1250
1251  DQYKHCREVAACCNVMSQEIVSKILEKNNPSIGDSKAKLLELPLGQPEKA  1300
1301  YLRGEFAQDLMKCTYKI                                   1317

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.