 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q5B3I8 from www.uniprot.org...
The NucPred score for your sequence is 0.89 (see score help below)
1 MAEDDAEKAFFEAQAMNAGSMGYNGAEDQNANASDSDEYDPSSTLQDQYP 50
51 APSENLQLQETDTPTSVSQPQPSFREDADPAGNAHPSQPPSRPESQASTS 100
101 VPATGVSVQPKTRTIGGFVVEDEDEDDAGDADYEPPAVLGVEDMNIIPSQ 150
151 PIPGNANEATSTPDVSLDEAAQESASAKNVPNSSLSSVSLAFKNDGSMDL 200
201 GQNLYNSRTSLQPEIARESATATPAPDSPSTAKGRLPHDRVGILEDRIRE 250
251 DPRGDIPAWLELINEHRSRNRIDSARDVYERFLKVFPLSAEMWVAYATME 300
301 SELNELFRLEQIFNRTLLTIPAVQLWTVYLDYVRRRNPLSTDTTGQARKV 350
351 ISSAYELALQHIGMDKESGSIWADYIQFIRSGPGNVGGSGWQDQQKMDLL 400
401 RKAYQRAICVPMQAVNTLWKEYDQFEMGLNKLTGRKFLQEQSPSYMTARS 450
451 SYTELQNFTRDLNRTTLPRLPPVPGSEGDFEYLQQIEIWKRWINWEKGDP 500
501 LVLKEDDLTAYKGRVVYVYKQALMALRFLPEIWFEAADFCFLNDMETEGN 550
551 EFLKNGIDANPESCLLAFKRADRLEITSESEQDPIKRGAKVREPYDRLLD 600
601 ALYDLIAKARTREAQDVARLEETFKLRPDTQPAANDDDDDDQSETKAKES 650
651 VKNAQIEAVRHAHSIQIGILSKTVSFAWIALMRAMRRIQGKGKPGEVPGS 700
701 RQVFADARKRGRITSDVYIASALIEYHCYKDPAATKIFERGAKLFPEDEN 750
751 FALEYLKHLIDINDIINARAVFEMTVRKLAANPENVHKTKPIFAFLHEYE 800
801 SRYGDLVQVINLETRMRELFPDDPTLEQFAHRFSAPNFDPTTFRPIISPS 850
851 QTRPKTVYPGGQVPSRHGTPSSRFPEASVTNSPKRPLEDFDDDMSRPRKF 900
901 VRGESPLRTTTQRRQLDQQKRTQTALQVPSSGSQYRSQGSPAPLPRDIVY 950
951 LLSVIPPASTYTAGRFSAEKMIDLVRRLDLPASISQIPLPQSARGLGTGQ 1000
1001 TTIGGQQFSDDGGYYYKGGVVDMCALHFMDDGVFRLYVAGLAGNILARIL 1050
1051 FFGSGGLLAYLLRTVQIWDPEIPRR 1075
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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