 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q924T7 from www.uniprot.org...
The NucPred score for your sequence is 0.86 (see score help below)
1 MPGDEERGFLAAREELASALRWDSAQVFPLEQLMPLLATSLPPAARYLQL 50
51 DAGRLVRCNAHGEPRNYLNTLSTALNILEKYGRNLLSPQRPRYWRSVKFN 100
101 NPVFRSTVDAVQGGRDVLRLYGYTEERPDGLSFPEGQEEPDEYQVAVVTL 150
151 EVLLLRTELSLLLQNTHPRQNALDQLLRESVEDGMLQLSEFHPLLREIVP 200
201 GPRPSAQGSTPGPCFLCGSAPGTLHCPACNQVSCPACDILFHGHPSRAHH 250
251 LRQALPGSHQTASLSSSLPASSQPRPPSSSLALGDSSLSSPDPANACLPW 300
301 HCLTCATLNEPWAVFCAVCSQPKGCKVPGIEGSHGTGGLEPEPARDQWAC 350
351 QSCTFENEAAAVLCAICERPRLAQPPSLVVDSHDAGVCQQSLKQEDPLLT 400
401 AAQPQVWYCDHCTFCNSGPVWVCAMCNRTRDPIPTQPALQSYPSSLEKGR 450
451 PKPGSSQHLGSSLPASCGDPEKQRQDKMRKEGLQLVSMIQEGETAGASPE 500
501 EVFSALQYSGTEVPLQWLRSELSYVLEMVAELAGQQDPELGAFSCQEARK 550
551 AWLDRHGNLDEAVEECVRARRRKVHELQSLGFGPKEGSLQALFQHGGDVA 600
601 RALTELQRQRLEPFHQRLWDRDPEPTPCWDGLDRQSLVRRLLAVYTLPSW 650
651 GRAELALALLQETPRNYELLDVVEAVRHSQDRAFLRRLLAQECAVCGWAL 700
701 PRNRMQALISCECTICPECFRQHFTIALKEKHITDMVCPACGRPDLTDDA 750
751 QLLSYFSTLDIQLRESLDPDAYALFHKKLTEAVLMRDPKFLWCAQCSFGF 800
801 IYEREQLEATCPQCHQTFCVRCKRQWEEQHRGRSCEDFQNWKRTNDPEYQ 850
851 AQGLAMYLQENGIDCPKCKFSYALARGGCMHFHCTQCRHQFCSGCYNAFY 900
901 AKNKCPDPNCKVKKSLHGHHPRDCLFYLRDWTAARLQKLLQDNNVMFNTE 950
951 PPAGTRAVPGGGCRVMEQKEVHSGFRDEACGKETPPGYAGLCQAHYKEYL 1000
1001 VSLINAHSLDPATLYEVEELETATIRYLHLAPQPADGEDLPAYQARLLQK 1050
1051 LREEVPLGQSIARRRK 1066
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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