 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8CJ19 from www.uniprot.org...
The NucPred score for your sequence is 0.97 (see score help below)
1 MEERKQETTNQAHVLFDRFVQATTCKGTLRAFQELCDHLELKPKDYRSFY 50
51 HKLKSKLNYWKAKALWAKLDKRGSHKDYKKGKACTNTKCLIIGAGPCGLR 100
101 TAIDLSLLGAKVVVIEKRDAFSRNNVLHLWPFTIHDLRGLGAKKFYGKFC 150
151 AGAIDHISIRQLQLILLKVALILGIEIHVNVEFQGLVQPPEDQENERIGW 200
201 RALVHPKTHPVSEYEFEVIIGGDGRRNTLEGFRRKEFRGKLAIAITANFI 250
251 NRNTTAEAKVEEISGVAFIFNQKFFQELREATGIDLENIVYYKDDTHYFV 300
301 MTAKKQSLLDKGVILHDYTDTELLLSRENVDQEALLNYAREAADFSTQQQ 350
351 LPSLDFAINHYGQPDVAMFDFTCMYASENAALVREQNGHQLLVALVGDSL 400
401 LEPFWPMGTGIARGFLAAMDSAWMVRSWSLGTSPLEVLAERESIYRLLPQ 450
451 TTPENVSKNFSQYSIDPVTRYPNININFLRPSQVRHLYDSGETKDIHLEM 500
501 ENMVNPRTTPKLTRNESVARSSKLLGWCQRQTEGYSGVNVTDLTMSWKSG 550
551 LALCAIIHRYRPDLIDFDSLDEQNVEKNNQLAFDIAEKELGISPIMTGKE 600
601 MASVGEPDKLSMVMYLTQFYEMFKDSLSSSDTLDLNAEEKAVLIASTKSP 650
651 ISFLSKLGQTISRKRSPKDKKEKDSDGAGKRRKTSQSEEEEPPRSYKGER 700
701 PTLVSTLTDRRMDAAVGNQNKVKYMATQLLAKFEENAPAQSTGVRRQGSI 750
751 KKEFPQNLGGSDTCYFCQKRVYVMERLSAEGKFFHRSCFKCEYCATTLRL 800
801 SAYAYDIEDGKFYCKPHYCYRLSGYAQRKRPAVAPLSGKEVKGALQDGPT 850
851 ADANGLASVAASSAERSPGTSMNGLEEPSIAKRLRGTPERIELENYRRSV 900
901 RQVEELEEVPEETQAEHNLSSVLDKGTEEDVASSSSESEMEEEEEEDDED 950
951 DHLPTSDLGGVPWKEAVRIHALLKGRSEEELEASKNFEPEEEEEEEEYEE 1000
1001 EDEEYEEEEEEESSEAGNKRLQQIITAADPLAIQADVHWTHIREREAEER 1050
1051 MLPTSESSTSRAPLDEDDLEEDADSEPAETEGEAAEDGDPGDTGAELDDQ 1100
1101 HWSDDIPSDAEAEHRLQSQAKVKAELELRVSENEEEKPSDAPKQEERGTS 1150
1151 QVSSPSQPPEKQVGVFSPARSPGTEEAKSPLATKVKSPEEPLFPTPLLLR 1200
1201 EKPKAEVPEEQKAVLSPIRSQPVALPEARSPTSPTSLQPESLLAPPTPPT 1250
1251 PPPTQLPICSQPQPSSDASIPSPTKSPIRFQPVPAKTSTPLTPLPVKSQG 1300
1301 DPKDRLSGPLAVEEVLKRSDLVEEFWMKSAEIRRSLGLTPVDRSKGSEPS 1350
1351 LPSPASKPISLKSYSVDKSPQDEGLCLLKPPSVPKRLGLPKSAGDQPPLL 1400
1401 TPKSPSDKELRSSQEERRDLSSSSGLGLHDSSSNMKTLGSQSFNTSDSTM 1450
1451 LTPPSSPPPPPPPNEEPATLRRKPHQTFERREASIIPPPTPASFMRPPRE 1500
1501 PAQPPREEVRKSFVESVDEIPFADDVEDTYDDKTEDSSLQEKFFTPPSCW 1550
1551 SRSEKLQAKENGRLPPLEQDVPPQKRGLPLVSAEAKELAEERMRAREKSV 1600
1601 KSQALRDAMAKQLSRMQAMEMVSSRSHTAQSQGKELGSESTRHPSLRGTQ 1650
1651 EPTLKHEATSEEILSPPSDSGGPDGSVTSSEGSSGKSKKRSSLFSPRRNK 1700
1701 KEKKTKGEARPPEKPSPGLPEDVVAKPKSLWKSVFSGYKKDKKKKSDEKS 1750
1751 CSSTPSSGATVDSGQRRASPMVRAELQLRRQLSFSEDSDLSSDDILERSS 1800
1801 QKSKREPRTYTEEELSAKLTRRVQKAARRQAKQEELKRLHRAQIIQRQLE 1850
1851 QVEEKQRQLEERGVAVEKALRGEAGMGKKDDPKLMQEWFKLVQEKNAMVR 1900
1901 YESELMIFARELELEDRQSRLQQELRERMAVEDHLKTEGELSEEKKILNE 1950
1951 MLEVVEQRDSLVALLEEQRLREKEEDKDLEAAMLCKGFSLDWS 1993
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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