 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q9C8Z4 from www.uniprot.org...
The NucPred score for your sequence is 0.81 (see score help below)
1 MSSSIVSQLQALKSVLQADTEPSKRPFTRPSILFSPKEAADFDIESIYEL 50
51 GLKGLEVLGNKDERFKNYMNDLFSHKSKEIDRELLGKEENARIDSSISSY 100
101 LRLLSGYLQFRASLETLEYLIRRYKIHIYNLEDVVLCALPYHDTHAFVRI 150
151 VQLLSTGNSKWKFLDGVKNSGAPPPRSVIVQQCIRDKQVLEALCDYASRT 200
201 KKYQPSKPVVSFSTAVVVGVLGSVPTVDGDIVKTILPFVDSGLQSGVKGC 250
251 LDQQAGALMVVGMLANRAVLNTNLIKRLMRSIIDIGREHAKESSDPHSLR 300
301 LSLMALINFVQLQSVDLIPRKALDLFNEIRDISGVLLGLSKEFNIKRFLA 350
351 VLLDSLLFYSSSDDKCCEVLASIIETVPVSNLVDHLISKVFSLCMTQYQK 400
401 NSDFRSSTSGSWAKKFLVVVSKKYPAELRAAVPKFLEATEVQSKKEDLKL 450
451 EMLSCMLDGNSDMSHPFVDSKLWFRLHHPRAAVRCAALSSLNGVLKDDSS 500
501 KAENLVTIQDAILRQLWDDDLAVVQAALSFDKLPNIITSSGLLDALLHVV 550
551 KRCVGILVSGVSHNVQLAVDVVALSLKIAVSSFGNQTDSTEKVTSAMFPF 600
601 LLIQPKTWNLNLLVLKLGKDVNWPLFKNLAADDGMKKLPDIMSTNLSSIS 650
651 MDIINDLGEALSLDPDERRIELIERACNYKLSEVLETCSNIKCSEQDRNK 700
701 LQKGLLIRESVSALNIDVINKLVEAFMMHPADYIQWLTVSCRDSTLSKTL 750
751 FYMILMHSLQKMNSSSDPSQLLDLFELCFPVLKTEWEELEVEVDVSLKEL 800
801 SKSNCQELLYQLLDTSDFTALNSKVLICLFWKLGESFIKLEPAHDASVLN 850
851 KRLSSGLEDLFFFFATTRLRHVFKEHLHFRVREAKVCPVLFLSRLISRED 900
901 VPPLVQIESLRCFSYLCSSGNNEWLIQVFSSFPVLLVPMSSDNQDVKAAA 950
951 INCIEALFNLRAAIYGSSFDELLGMIVQQRRLILSDNKFFASYLTSLLSS 1000
1001 TTNDLLVPVGLQKRFDQSTKENILSVILLCAEDLPAYGKLRVLSLLKDLG 1050
1051 IMLMRDEIVKLLSQLLDKRSQYYYKLDKTSQPLSDTEVDLLCLLLECSMM 1100
1101 RTSSFKGQSLDDHILSALNVDCMASERPAVISPCLTILEKLSNRFYDELQ 1150
1151 TDVQIRFFHKLVSMFRSSNGSIQNGAKEAVLRLKLSSSTVVLALDRITQQ 1200
1201 DTLVIGSLSKKKKQKKNSKSCPEEDINSEEFRSGEKALSFIASLLDMLLL 1250
1251 KKDLTHRESLIRPLFKLLQRSMSKEWVKIAFSIEETSLQPPQDVRETTPT 1300
1301 FISSIQQTLLLILKDIFDSLNMNPLKAEVANEINVKMLVELAHSSNDGVT 1350
1351 RNHIFSLFTAIVKFVPDKVLDHIISILTLVGESTVTQIDSHSKSIFEGFI 1400
1401 SMVIPFWLSKTKSEEQLLQIFVKVLPDIVEHRRRSIVAYLLGVIGERNGL 1450
1451 PALLVLLFKSLISRKDSAWLGNANVSESFASIVKKEWEYSFAMEICEQYS 1500
1501 SSTWLSSLVILLQTISKDSKQCFLQMRLVLEFVFQKLQDPEFAFAVSLEP 1550
1551 RNNVSVGIQQELQELMKCCICLLQAIDAKKEKDVTSSVRNEIRMRIHDVL 1600
1601 MTVTGAMDLSIYFRVVTSLLQQQTDYNGTKKVLGLISERAKDTSSSKMKH 1650
1651 KRKISNQKGRNSWLNLDEVAVDSFGKMCEEIVHLINATDDESGVPVKRAA 1700
1701 ISTLEVLAGRFPSGHPIFRKCLAAVAECISSKNLGVSSSCLRTTGALINV 1750
1751 LGPKALIELPCIMKNLVKQSLEVSFASQSGRNATAEEQLLMLSVLVTLEA 1800
1801 VIDKLGGFLNPHLGDIMKIMVLHPEYVSDFDKNLKSKANAIRRLLTDKIP 1850
1851 VRLTLQPLLRIYNEAVSSGNASLVIAFNMLEDLVVKMDRSSIVSSHGKIF 1900
1901 DQCLVALDIRRLNPAAIQNIDDAERSVTSAMVALTKKLTESEFRPLFIRS 1950
1951 IDWAESDVVDGSGSENKSIDRAISFYGLVDRLCESHRSIFVPYFKYVLDG 2000
2001 IVAHLTTAEASVSTRKKKKAKIQQTSDSIQPKSWHLRALVLSCLKNCFLH 2050
2051 DTGSLKFLDTNNFQVLLKPIVSQLVVEPPSSLKEHPHVPSVDEVDDLLVS 2100
2101 CIGQMAVASGSDLLWKPLNHEVLMQTRSESVRSRMLSLRSVKQMLDNLKE 2150
2151 EYLVLLAETIPFLAELLEDVELSVKSLAQDIIKQMEEMSGESLAEYL 2197
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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