| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q7YR40 from www.uniprot.org...
The NucPred score for your sequence is 0.96 (see score help below)
1 MEDTQAIDWDVEEEEETEQSSESLRCNVEPVGRLHIFSGAHGPEKDFPLH 50
51 LGKNVVGRMPDCSVALPFPSISKQHAEIEILAWDKAPILRDCGSLNGTQI 100
101 LRPPKVLSPGVSHRLRDQELILFADLLCQYHRLDVSLPFVSRGPLTVEET 150
151 PRVQGGTQPQRLLLAEDSEEEVDFLSERRMVKKSRTTSSSVIVPESDEEG 200
201 HSPVLGGLGPPFAFNLNSDTDVEEGQQPATEEASSAARRGATVEAKQSEA 250
251 EVVTEIQLEKDQPLVKERDDDTKVKRGAENGVVPAGVILERSQPPGEDSD 300
301 TDVDDDSRPPGRPAEVHLERAQPFGFINSDTDAEEERIPATPVVIPMKKR 350
351 KIFHGVGTRGPGAPGLAHLQESQAGSDTDVEEGKAPQAVPLEKSQASMVI 400
401 NSDTDDEEEVSAALTLAHLKESQPAIWNRDAEEDMPQRVVLLQRSQTTTE 450
451 RDSDTDVEEEELPVENREAVLKDHTKIRALVRAHSEKDQPPFGDSDDSVE 500
501 ADKSSPGIHLERSQASTTVDINTQVEKEVPPGSAIIHIKKHQVSVEGTNQ 550
551 TDVKAVGGPAKLLVVSLEEAWPLHGDCETDAEEDTSLAASAVADVRKSQL 600
601 PAEGDAGAEWAAAVLKQERAHEVGAQGGPPVAQVEQDLPISRENLTDLVV 650
651 DTDTLGESTQPQREGAQVPTGREREQHVGGTKDSEDNYGDSEDLDLQATQ 700
701 CFLENQGLEAVQSMEDEPTQAFMLTPPQELGPSHCSFQTTGTLDEPWEVL 750
751 ATQPFCLRESEDSETQPFDTHLEAYGPCLSPPRAIPGDQHPESPVHTEPM 800
801 GIQGRGRQTVDKVMGIPKETAERVGPERGPLERETEKLLPERQTDVTGEE 850
851 ELTKGKQDREQKQLLARDTQRQESDKNGESASPERDRESLKVEIETSEEI 900
901 QEKQVQKQTLPSKAFEREVERPVANRECDPAELEEKVPKVILERDTQRGE 950
951 PEGGSQDQKGQASSPIPEPGVEAGDLPGPTSAPVTSGSQSGGRGSPVSPR 1000
1001 RHQKGLLNCKMPPAEKASRIRAAEKVSRGDQESPDACLPPTVPEAPAPPQ 1050
1051 KPLNSQSQKHLAPPPLLSPLLPSIKPTVRKTRQDGSQEAPEAPLSSELEP 1100
1101 FHPKPKIRTRKSSRMTTFPATSAAPEPHPSTSTAQPVTPKPTSQATRSRT 1150
1151 NRSSVKTPEQGVPTAPELQPCTSTDQPVTSEPTSQVTRGRKSRSSVKTPE 1200
1201 TVVPTALELQPSTSTDRPVTSEPTSHATRGRKNRSSVKTPEPVVPTAPEL 1250
1251 QPSTSTDQPVTSEPTYQATRGRKNRSSVKTPEPVVPTAPELQPSTSTDQP 1300
1301 VTPKPTSRTTRSRTNMSSVKNPESTVPIAPELPPSTSTEQPVTPEPTSRA 1350
1351 TRGRKNRSSGKTPETLVPTAPKLEPSTSTDQPVTPEPTSQATRGRTNRSS 1400
1401 VKTPETVVPTAPELQLSTSTDQAVTPKPTSRTTRSRTNMSSVKNPESTVP 1450
1451 IAPELPPSTSTEQPVTPEPTSRATRGRKNRSSGKTPETLVPTAPKLEPST 1500
1501 STDQPVTPEPTSQATRGRTNRSSVKTPETVVPTAPELQPSTSTDQPVTPE 1550
1551 PTSQVTRGRTDRSSVKTPETVVPTAPELQASASTDQPVTSEPTSRTTRGR 1600
1601 KNRSSVKTPETVVPTAPELQPSTSTDQPVTPEPTSQATRGRTNRSSVKTP 1650
1651 ESIVPIAPELQPSTSRNQLVTPEPTSRATRCRTNRSSVKTPEPVVPTAPE 1700
1701 PHPTTSTDQPVTPKLTSRATRRKTNRSSVKTPKPVEPAASDLEPFTPTDQ 1750
1751 SVTPEAIAQGGQSKTLRSSTVRAMPVPTTPEFQSPVTTDQPISPEPITQP 1800
1801 SCIKRQRAAGNPGSLAAPIDHKPCSAPLEPKSQASRNQRWGAVRAAESLT 1850
1851 AIPEPASPQLLETPIHASQIQKVEPAGRSRFTPELQPKASQSRKRSLATM 1900
1901 DSPPHQKQPQRGEVSQKTVIIKEEEEDTAEKPGKEEDVVTPKPGKRKRDQ 1950
1951 AEEEPNRIPSRSLRRTKLNQESTAPKVLFTGVVDARGERAVLALGGSLAG 2000
2001 SAAEASHLVTDRIRRTVKFLCALGRGIPILSLDWLHQSHKAGFFLPPDEY 2050
2051 VVTDPEQEKNFGFSLQDALSRARERRLLEGYEIYVTPGVQPPPPQMGEII 2100
2101 SCCGGTYLPSMPRSYKPQRVVITCPQDFPHCSIPLRVGLPLLSPEFLLTG 2150
2151 VLKQEAKPEAFVLSPLEMSST 2171
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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