| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8CDM1 from www.uniprot.org...
The NucPred score for your sequence is 0.98 (see score help below)
1 MSLLKMRRHAIHSSDSTSSSSSEDDCFERRTKRNRNRAINRCLPLNFRKD 50
51 EIRGIYKDRMKIGASLADVDPMQLDTSVRFDSVGGLSSHIAALKEMVVFP 100
101 LLYPEVFEKFKIQPPRGCLFYGPPGTGKTLVARALANECSRGDKRVAFFM 150
151 RKGADCLSKWVGESERQLRLLFDQAYQMRPAIIFFDEIDGLAPVRSSRQD 200
201 QIHSSIVSTLLALMDGLDSRGEIVVIGATNRLDSIDPALRRPGRFDREFL 250
251 FSLPDKNARKEILKIHTRDWNPKPVDMFLEELAEHCVGYCGADIKSICAE 300
301 AALCALRRRYPQIYTTSEKLQLDLSSITISAKDFEAALQKIRPASQRAVT 350
351 SPGQALSAIVKPLLQNTVHRILDALQKVFPHVEVGTNKSLNSDVSCPFLE 400
401 SDLAYSDDDTPSVYENGLSQKENLNFLHLNRNACYQPMSFRPRLLIVGEP 450
451 GFGQSSHLAPAVIHALEKFTVYTLDIPVLFGISTTSPEEACSQMIREAKR 500
501 TAPSIVYVPHIHLWWEIVGPTLKATFTTLLQTIPSFAPVLLLATSEKPYS 550
551 ALPEEVQELFTHDYGEIFNVQLPDKEERTKFFEDLILKQASKPPVSQKKA 600
601 VLQALEVLPVAPPPEPRPLTAEEVKRLEEQEEDTFRELRIFLRNVTHRLA 650
651 IDKRFRVFTKPVDPDEVPDYVTVIKQPMDLSSVISKIDLHKYLTVKDYLK 700
701 DIDLICSNALEYNPDRDPGDRLIRHRACALRDTAYAIIKEELDEDFEQLC 750
751 EEIQESRKKRGCSSSKYAPSYYHVMPKQNSPPVGDKKPDQEQNEKLKVPC 800
801 TPVACSTPAQLKRKFHKKSKWHVGTKIKRRKISQAKDNSLNAMNSSSRSD 850
851 TEDSQHTHAEHTEPGNTDESSVEESDKQNRLESNIDLKNNSSSSNIENEL 900
901 EEPKETTEGTELRKDRIVCRGDASASQVTDIPEDSESKEMDFLRMTLARG 950
951 SQVEQQELISMEQALAILSQPTPSLVLDHKQLTNILKTVVKKSQKYNIFQ 1000
1001 LENLYAVISQCIYEHRRDYDKTALVQKMEQAVENFNCSRS 1040
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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