 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q85B60 from www.uniprot.org...
The NucPred score for your sequence is 0.83 (see score help below)
1 MVKKVIEKGRGVRGRDYSSKVWDFLEIDALNYFSESLKNHYLEELVVSPA 50
51 STAEPFIRLSDLRFLSLLFLRNLRHSIMRGSGVTLEMLMLLAIPIFMHCL 100
101 SYKNSIDRGFVLAKVIDGGEGIRKKQTENYGNFSYDCFLQFKRFLSVGRD 150
151 GKREILEPYYLGLNKDISISASSSKEEREIRYDVTTPLPSGRWKARIMRR 200
201 DSLLFGGDRFKGKTEGIQVVRGGRYLQDLVRFFKFYKNLVVSKNGSDCHQ 250
251 NNFDSLLLREICDKQDLGRLQAIRLGNNSLSSVVLYPFESESADSADPRR 300
301 DGSAFPSEQEVFSNLYSFTSREKTILFRNSISGLDYGEDEGGFPVLHAYS 350
351 QVRNQLINRLTNFLSIIRKSNLPLGGKIVIDVSNRIKSERVFFPSGMKKN 400
401 MPFTKISGKKLRLASGGYFDFVEIFPTYFKASLEIPRETTNQNGNTNFLD 450
451 ELEGGGNLDSIYSLVRLYGRNRIIPLYSTYIFLLHDYFCALSTEYFFRIK 500
501 YWLDGWTGGRVYISFTGIATEETVFKWKDDVERLSNEYVTSHIGQCRNVQ 550
551 SNLYRRLDATRNLYVSPVKKFLGEAMKYNLAELICRVSLVGNELLNKTGV 600
601 SLRSTNRHTKKYFHRFLDVLFLSKMIVAEATRQKILIDTVDYCIEKLDDI 650
651 DFEKLNKMDRIELDFFSSLSDGYIDEEILLFKTILEERKSFLVESRLLTS 700
701 EKSVGSSTALKPASNFTSLGLSCIEAIRAGFSGEALSIMGRQNWNLFVCD 750
751 LSRGGNSIRNIGESLPKNISDQMDEINNSPIRSRAGNNFIQRIKRGFFVG 800
801 NCSNSYLDVLENFYLSSDEKAISSSDILSLIHLQLSDSLSSNFSKQTAGE 850
851 VADHLLTPIQLISPNLHESATIVTHLDGLPNSISDLNGLLASLSSSPREA 900
901 TDSFLFSCSNDGVSLEEASRNSDSWSDHQRTQPRRNLLVLDRVNSEKFFK 950
951 DGLDSRNGSPTSQVYRNGLSIEYFWEPKKLDTPYWSLRFSLFNGVTSRFI 1000
1001 AGSIGEDVTRQDAGFADSSAREEATCPSHFINFNELSEDLNRYKISWIFW 1050
1051 RDSIGENWSLLGDYIPLFFTPTWWRYFCDLITKAYPEIVLKISYDSNHDL 1100
1101 RRISEGIARGLVGSAKGYLLRSLQRLGLIFGNNSINTISSETDLLILEKI 1150
1151 PDKAEILHPGEWSVSQFSNRPISYCCILSILLVLLSLKHPLSAVSGSNFF 1200
1201 HLWKRFATIDYLTDPMRGSYLRKVMYSPPTSQMLTRDLLIHSLNRFLNCV 1250
1251 SNILFFLFVKNEIDSWIFRRESSDILDSNKELLTQHLVTTKILYRYASKS 1300
1301 KFNYDLSSNKIFHEPYPQDRSNVLAYLLQFWQNDLLGHKIRKLDPAEKWA 1350
1351 FSALGRDILFSATTRRRDSLLNMPCRDIPISLQSGLLPSKGILLVGPVET 1400
1401 GRSSLIRDVASNSYFPVVKLPLKKFIYNRSFFNNVRGNFISKESVHRLNI 1450
1451 VFEIAKEMSPCTLWIQDIHELNICRSYNKLEADPKFLLCQILKSIGHKLG 1500
1501 NSDIRENVVIATTHVPARIDPALVAPNRLNQLINFRRSNGRQRQKELSIL 1550
1551 LRIKGFEVGANPTLLESTVSGTAGYSKRDLLLLANEALLIGTSKGRKFVC 1600
1601 SNTIGLALHRQHSTVSDMGNEMESNSEWEISSYKMAEVKNSLTDISLTTF 1650
1651 PFIGRDELKMRFYYLSNWYVEPSTTESTIDEFTMFLHLPELIAKLVARDS 1700
1701 FQMDRGKEDNFIVIDKLVENDLNLACGVLENLSNNFPRPEICRGESRRSN 1750
1751 SFPPPLPIGKPKYCSGVTSLSRSSKSLKRGRISSLTDFEMQQSPELRNSA 1800
1801 AEISREITWSRKAWRLRFLRSGTYELMGVLSEPNHLYNLILLYYNQNYIP 1850
1851 QQDFEFSKIRGKRSKWREKSGYLFSFEKSVTNGTDNSIKRLENRLDNMLL 1900
1901 REQFLELGISGDSSNEYETHCDRLNEMTRLFGGRFIWDPMLLFQPDPNIP 1950
1951 SLRRNLLSTKELARRLHTIYGMRRQRLQKMSNNKIKDFFLYSEENPKLKP 2000
2001 DSSLNRRNNLPLEEEERDSEYVRETSSVDIHLQYPQIFTPVRLGCYAVAE 2050
2051 DFPERFLRFRLLVHRNKWLRRNRSPFRDFLIYNMLLETYEYLSNPFRFGK 2100
2101 ASLD 2104
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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