| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q6GPK9 from www.uniprot.org...
The NucPred score for your sequence is 0.97 (see score help below)
1 MPSNARAGNLKDPEVAELFFKDDPEKLFADLREIGHGSFGAVYFARDIRN 50
51 NEVVAIKKMSYSGKQSNEKWQDIIKEVKFLQKLRHPNTIEYKGCYLREHT 100
101 AWLVMEYCLGSASDLLEVHKKPLQEMEIAAITHGALQGLAYLHNHNMIHR 150
151 DVKAGNILLTEPGLVKLGDFGSASIMAPANSFVGTPYWMAPEVILAMDEG 200
201 QYDGKVDVWSLGITSIELAERKPPLFNMNAMSALYHIAQNESPVLQSNHW 250
251 SEYFRNFVDSCLQKIPQDRPTSDMLLKHRFLQRERPQTVIMELIQRTKDA 300
301 VRELDNLQYRKMKKILFQDTQNGPNTETTEEEEEAEQFLHCTGTITSMES 350
351 SQSVPSMSISASSQSSSVNSLADASDDSGEMAMMQEGEHTVTSNSSVIHR 400
401 LPAHDNIYDDPYQPEMEAQQSSSAARRRAYCRNRDHFATIRTASLVTRQI 450
451 QEHEQDSALREQMSGYKRMRRQHQKQLMALENKLKSELDEHQQRLDKELE 500
501 AHRSNFSAENEKISKKHQAIFEKEAKGGMTEEKKFQQHILGQQKKELTNL 550
551 LESQKRQYKIRKEQLKEELQENQSTPKREKQEWLLRQKESMQHYQAEEEA 600
601 NLLRRQRQYFELQCRQYKRKMLLARHNLDQDLLREELNKKQTQRDLECAM 650
651 LLRQHECTQELEFRHLQLLQHTRSELIRMQHQTELGNQLEYNKRREQELR 700
701 QKHAAEVRQQPKSLKSKELQIKRQFQDTCKIQTRQYKALRNHLLETTPKS 750
751 EHKSILKRLKDEQTRKLAILAEQYDHSINEMLSTQALRLDETQEAEYQEL 800
801 RIQLQKELELLNAYQSKIKIHTDAQHERELKELEQRVSIRRALLEQRIEE 850
851 EMLALQTERSERIRSLLERQAREIEAFDSESMRLGFSNMALTGIPAEAFN 900
901 QGYQAPPPGWPSRPVPRSGSHWSHGVQNTGAPQLWRQPTLLAPPSASWGL 950
951 HPPGSSSSLSALPSSSSSSSSSPSSSSGGRPGLLLLRNSPQPLRRGGSGG 1000
1001 PSEAGLSRSTSVTSQLSNGSHLSYS 1025
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
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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