 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q6PHS6 from www.uniprot.org...
The NucPred score for your sequence is 0.78 (see score help below)
1 MLTEASLSIWGWGSLGIVLFLITFGPFVIFYLAFYILCFVGGGLVVTLLY 50
51 GKTNSEKYLEQCEHSFLPPTSSGVPKCLEEMKREARTIKIDRRLTGANII 100
101 DEPLQQVIQFSLRDYVQYWYYTLSDDESFLLEIRQTLQNALIQFATRSKE 150
151 IDWQPYFTTRIVDDFGTHLRVFRKAQQRVTEKDDQVKGTAEDLVETFFEV 200
201 EVEMEKDVCRDLVCTSPKDEEGFLRDLCEVLLYLLLPPGDFQSKIMRYFV 250
251 REILARGILLPLINQLSDPDYINQYVIWMIRDSNCNYEAFMNIIKLSDNI 300
301 GELEAVRDKAAEELQYLRSLDTAGDDINTIKNQINSLLFVKKVCDSRIQR 350
351 LQSGKEINTVKLAANFGKLCTVPLDSILVDNVALQFFMDYMQQTGGQAHL 400
401 FFWMTVEGYRVTAQQQLEVLSGRQRDGKQQTNQTKGLLRAAAVGIYEQYL 450
451 SEKASPRVTVDDYLVAKLADTLNHEDPTPEIFDDIQRKVYELMLRDERFY 500
501 PSFRQNALYVRMLAELDMLKDPSFRGSDDGDGESFNGSPTGSINLSLDDL 550
551 SSVTSDDSVQLHAYISDTGVCNDHGKTYALYAITVHRRNLNTEEMWKTYR 600
601 RYSDFHDFHMRITEQFENLSSILKLPGKKTFNNMDRDFLEKRKKDLNAYL 650
651 QLLLTPEMMKASPALAHCVYDFLENKAYSKGKGDFARKMDTFVNPLRNSM 700
701 RNVSNAVKSLPDSLAEGVTKMSDNVGRMSERLGQDIKQSFFKVPPLITKT 750
751 DSDPEHCRVSAQLDDNVDDNIPLRVMLLLMDEVFDLKERNQWLRRNIKNL 800
801 LQQLIRATYGDTINRKIVDHVDWMTSPEQVADSVKRFRDAFWPNGILAET 850
851 VPCRDKAIRMRTRIAGKTKLFAIMPDELKHIIGAETTRKGILRVFEMFQH 900
901 NQLNRRMVYVFLEGFLETLFPQYKFRELFNKLHSRSKQMQKYKQKLQSTQ 950
951 APSLQKR 957
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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