 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q03460 from www.uniprot.org...
The NucPred score for your sequence is 0.38 (see score help below)
1 MSNSLSLTFTALNNPQINAISNPNARLRPLARVTRCSATCVERKRWLGTK 50
51 LRSGGGLERIQLWESGGLGRLPKLRVAVKSSFSAVPDKPMGLYDPAFDKD 100
101 SCGVGFVAELNGQSSRKTVTDALEMLVRMTHRGACGCEANTGDGAGILVA 150
151 LPHGFYQEVVDFQLPPQGNYAVGMFFLPKSDSRRKESKNIFTKVAESLGH 200
201 KVLGWRSVPTDNTGLGKSAQLTEPVIEQVFLTPSSDSKVDLEKQMYILRK 250
251 LSMVSITSALNLQSDGITDFYICSLSSRTVIYKGQLTPAQLGEYYYADLG 300
301 NERFTSYMALIHSRFSTNTFPSWDRAQPFRVLGHNGEINTLRGNVNWIKA 350
351 REGLLKCKELGLSENDLKKFLPIVDANSSDSGCFDGVLEFLLHSGKSLPE 400
401 AVMMMIPEAWQNDKNMDPQRKAFYEYYSALMEPWDGPALISFTDGHYLGA 450
451 TLDRNGLRPGRFYVTHSGRVIMASEVGVVDIPPEDVCRKGRLNPGMMLLV 500
501 DFEKQIVVNDDALKEQYSLARPYGDWLEKQKIELKDIIDSVHESDIVPPT 550
551 ISGVPPLSNDDVDMENMGIQGLLAPLKAFGYSVESLEILLLPMAKDGVEA 600
601 LGSMGNDTPLAVMSNREKLTFEYFKQMFAQVTNPPIDPIREKIVTSMRCM 650
651 VGPEGDLTETTEEQCHRLSLKGPLLSTKEMEAIKKMNYRGWRSKVIDITY 700
701 SKERGTKGLEEALDRICTEAHNAISEGYTTLVLSDRAFSKKHVAVSSLLA 750
751 VGAVHQHLVKTLERTRVALMVESAEPREVHHFCTLVGFGADAICPYLAIE 800
801 AIWRLQVDGKIPPKASGDFNSKDELVKKYFKASTYGMMKVLAKMGISTLA 850
851 SYKGAQIFEALGLSSEVIEKCFAGTPSRVEGATFEMLAQDALHLHELAFP 900
901 SRIFSPGSAEAVALPNPGDYHWRKGGEVHLNDPLAIAKLQEAARTNSVDA 950
951 YKQYSKTIHELNKACNLRGLLKFKDAASKVPISEVEPASEIVKRFCTGAM 1000
1001 SYGSISLEAHTALATAMNTIGGKSNTGEGGEQPSRMEPLADGSRNPKRSA 1050
1051 IKQVASGRFGVSSYYLTNADELQIKMAQGAKPGEGGELPGHKVIGDIAIT 1100
1101 RNSTAGVGLISPPPHHDIYSIEDLAQLIHDLKNANPAARISVKLVSEAGV 1150
1151 GVIASGVVKGHAEHVLISGHDGGTGASRWTGIKSAGLPWELGLAETHQTL 1200
1201 VANDLRGRTTLQTDGQLKTGRDVAIAALLGAEEYGFSTAPLITLGCIMMR 1250
1251 KCHKNTCPVGIATQDPVLREKFAGEPEHVINFFFMVAEEMREIMSQLGFR 1300
1301 TVNEMVGRSDMLEVDKEVVKGNAKLENIDLSLLLRPAAELRPEAAQYCVQ 1350
1351 KQDHGLDMALDNKLISLSNAALEKGLPVYIETPICNTNRAVGTMLSHEVT 1400
1401 KRYNLAGLPADTIHIQFTGSAGQSFGAFLCPGITLELEGDSNDYIGKGLS 1450
1451 GGKVVVYPPKGSNFDPKDNILIGNVALYGATRGEAYFNGMAAERFCVRNS 1500
1501 GALAVVEGVGDHGCEYMTGGTVVVLGKTGRNFAAGMSGGIAYVLDVDGTF 1550
1551 QSRCNLELVDLDKVEEEEDIITLRMLIQQHQRHTNSLLAKEVLVDFENLL 1600
1601 PKFVKVFPREYKRVLASMKSDAASKDAVERAAEDVDEQDDEAQAVEKDAF 1650
1651 EELKKLATASLNEKPSEAPKRPSQVTDAVKHRGFVAYEREGVQYRDPNVR 1700
1701 LNDWNEVMMETKPGPLLKTQSARCMDCGTPFCHQENSGCPLGNKIPEFNE 1750
1751 LVYQNRWQEALERLLETNNFPEFTGRVCPAPCEGSCVLGIIENPVSIKNI 1800
1801 ECAIIDKAFEEGWMIPRPPVKRTGKRVAIVGSGPSGLAAADQLNKMGHIV 1850
1851 TVFERADRIGGLMMYGVPNMKTDKVDIVQRRVNLMAEEGINFVVNANIGL 1900
1901 DPLYSLERLREENDAIVLAVGATKPRDLPVPGRELSGVHFAMEFLHANTK 1950
1951 SLLDSNLQDGNYISAKGKKVVVIGGGDTGTDCIGTSIRHGCTAVVNLELL 2000
2001 PQPPPTRAPGNPWPQWPRIFRVDYGHQEAETKFGKDPRTYEVLTKRFVGD 2050
2051 ENGVVKGLEVVRVCWEKDETGKFQFKEIEGSEEIIEADLVLLAMGFLGPE 2100
2101 ATIAEKLGVERDNRSNFKADYGRFSTSVDGVFAAGDCRRGQSLVVWAISE 2150
2151 GRQAAAQVDSYLTNEDHGIDGNQDEFVKRQQDLNKKHSKHTVMT 2194
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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