 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q4W9R7 from www.uniprot.org...
The NucPred score for your sequence is 0.14 (see score help below)
1 MARLGRFGFLALAVVFHLIYAYSIFDIYFVSPIVSGMRSYGVEREPGAKA 50
51 PASRLVLFVADGLRADKAFQPAPDPSPEDGEDAENNDPIYLAPFIRSRVL 100
101 SHGTFGVSHTRVPTESRPGHVALIAGLYEDVSAVTTGWKLNPVNFDSVFN 150
151 QSRHTWSWGSPDILAMFKEGAVPGRVDADMYGEEIEDFTMDATQLDTWVF 200
201 NKVKELFASAKSDPELDAKLRQDKVVFFLHLLGLDTTGHGYRPYSREYLH 250
251 NIKIVDKGVQEIATLIEEFYGDDRTAFVFTADHGMSDWGSHGDGHPDNTR 300
301 TPLVVWGSGVAGPKYTDGKAVTGHEDGFSADWGLDGIQRHDVAQADVAAL 350
351 MAYLAGLDFPVNSVGQLPLEYIDASPKEKALAALANTQEVLEMYRVKEAQ 400
401 KRAALLRYKPFEPLADHGKNSVEEHIAEIQVLIANGSYDEPIKRSGALFA 450
451 TALEGLRYLQTYDWLFLRTIITFGYLGWIAYALTTVIDLHVLHRTSDSKR 500
501 TVGSTIFFTSILAALFSVLLYQKSSWQYYVYGAFPIFFWEEVFARRKALI 550
551 AGREILLGHVRSFGGYIASGFQLVAFVAVLEALLMRHQVQSYFHREIYTV 600
601 CFVLGSFWPILYGVDFVRQNTVLSATWAVGCSLMSTFTLLPVIKVENINT 650
651 ITYGALLMFFTGLFYLLFEDTILKHSKSSGHAPGAISSLGSRVIMGMQVG 700
701 MVLLALIVTRSSVSSLQAKQGLPFGNQVVGWFVLVASLVLPFFHRLYPNS 750
751 HYLHRLMVLFLTFSPTFIILTISYEGLFYFVFCMTLVTWVRLEHAIYVYT 800
801 ARSSAHYGGNNTVPKKPGLNATAVIDGQEYRYRRLGLADTRVALFFFFLL 850
851 QSAFFSTGNIASVSSFSLESVFRLIPVFSPFSQSALLILKLLIPFAIISA 900
901 NLGILNRRLEVAPSALFMVVMSISDVMTLNFFYMVRDEGSWLDIGTTISH 950
951 FLIASFLCTFVAGLEFLSEVFISGVDFGPTTKAIGASITKTVGGTAGSDV 1000
1001 VDSQSGPEDAANSKKAEGLEGSETIRQNGGSV 1032
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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