| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q62036 from www.uniprot.org...
The NucPred score for your sequence is 0.96 (see score help below)
1 MKGSRTITATPEGSPEAVDLSLIGLPPPMSQRPGSASATRSIFRSMSVAT 50
51 GSEPRKKALEATGPGGPRAINNLRRSNSTTQVNQSWTGSPRPAEPTDFLM 100
101 LFEGSTSGRRRVASLSKASSEKEATWNVLDEQPRGLALPASAQSPSTLDS 150
151 ALGPRRKECPLAPSFTANNRSNKGAVGNCVTTMVHNHYASSKMVSPPKSS 200
201 NQTAPSLNNIVKAAAREGGEGSDLGKPRKNLSSASQSARGTTGLLRRREV 250
251 TEEEAERFIHQVNQAAVTIQRWYRCQVQRRRAGAAALEHLLASKREGQRQ 300
301 RLGGGNLLELHRQEEAARKKAREEKARQARQAAIQVLQQKRAQKASEAEH 350
351 RRPKDRPETRAPEQPRPMQEPGCVTHPKANNAGASIYPTGPADPCPPASE 400
401 SSPEQWQSPEDKPQDIHSQGEARQDLAVSGSSRGKARARATLDDLLDTLK 450
451 LLEEEPEPLPHPKAYHKDRYAWTDEEEDANSLTADNLEKFGKLSAAPGPP 500
501 DDGTLLSEAKLQSIMTFLDEMEKSGQERPAPWRESLVLEAGSGSEGSTSV 550
551 MRLKLELEEKKQAMALLQRALAQQRDLTVRRVKETEKELTRQLRQQKEQY 600
601 EATIQRHLSFIDQLIEDKKVLSEKCEAVVAELKHGDQRCRERVAQMQEQH 650
651 ELEIKKLKELMSATEKIRREKWINEKTKKIKEITVRGLEPEIQKLIAKHK 700
701 QEVRRLRGLHEAELQQREEQAAQRHLRQAEELRQHLDREREVLGQQERER 750
751 AQQRFEQHLEQEQRALEQQRRRLYNEVAEEKERLGQQAARQRAELEELRQ 800
801 QLEESSAALTRALRAEFERSREEQERRHQMELKALKDQLEAERQAWVASC 850
851 AKKEEAWLLTRERELKEEIRKGRDQEIELVIHRLEADMTLAKEESERAAE 900
901 SRVKRVRDKYETELSELEQSERKLQERCSELKGRLGEAEGEKERLQSLVR 950
951 QKEKELEDLRAVNTQMCSERASLAQVVRQEFAEQLAASQEETQRVKVELA 1000
1001 ELQARQQVELDEVHRRVKTALARKEAAVNSLRKQHEAAVKRADHLEELLE 1050
1051 QHKGSSLSSK 1060
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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