 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q6C4J0 from www.uniprot.org...
The NucPred score for your sequence is 0.67 (see score help below)
1 MGRPFNGNNTHVVKQRSDEFERRRLERIEQLGQKFAAVERRDAIDDRMGF 50
51 TRFSGDEKRVGWLVNMHETLLQSETAERGLAAVDYYFYDEEGGNFKSTVV 100
101 FRPYFFVICKPHTEHAVKDLMEKMFERVLASTEIVTKEDLNLTNHLTGKK 150
151 RKAVKLEFHNSEDLSSTRFTLSKIVDRQTQQTEQHLNIYELEGDVDTSTD 200
201 VESSITGIKEFDVPFETRVAIDLDIRVGNWYEVTKENDTAVLKHMVEREY 250
251 RADPVVMAYDIETEKAPLRFPDSAVDRIMMISYMIDGEGFLITNREMVSE 300
301 DIEDFEYTPKPEFPGNFTIFNEPNEKAVLEKWFEHIRDVCPTVMTSYNGD 350
351 FFDFPFIDKRTAFHGMNLYDEIGWKKVEEERYECSYCVHMDCLNWVKRDS 400
401 YLPQGSQGLKAVTKVKLSYDPKELDPEKMTPYARDHPQILAEYSVSDAVA 450
451 TYYLYMKYVHPFIFSLCCIIPLNPDAVLRKGTGTLCEMLLMVKAYEGRII 500
501 LPDKHKPALERHYKGHLVDNETYTGGHVESLAAGVFRSDIMVDFDIDTNS 550
551 IDELLVNLDETLEFCVTVEAGKKSSDFENLDEVRDQIIEQLQELKSNPKR 600
601 SDYPLIYHVDVASMYPNIMTTNRLQPDSMVDEKDCAVCDYNRPDKTCARE 650
651 LEWARRVDYYPVSKGDVNNLKQGLVEEYSGGRFGNGSSVEISYDEGMTER 700
701 EKFQKRKGWAGLSGQEQANKLKERVAAFSLKTKARKTDSETTVQKTIVCQ 750
751 RENPFYVDVVQEFKQRRIDYKTKAKRWNKEAASASDPASREEAKKMAITN 800
801 DSMQLAHKVILNSFYGYVMRKGSRWYSMEMAGVTCYTGAKIIKIARQTME 850
851 GLGIPLELDTDGIWCMLPKTFPEKFKCKFKDGSSYELEYPCSIMNYLVHR 900
901 DFTNHQYQKLNPETGKYDTHSENSIFFELDGPYKCMMMPTSTDKGKGLKK 950
951 RYVVFDDRNKIVELKGFEVKRRGELSLIKKFQSQLWDTFLEGSNLVECYA 1000
1001 AQARVAEAWLAVIDSRGKNLSDEELIDLVCENKSMSKPVHEYGSQKSTAL 1050
1051 TTARRLAEIMGDSILTGGKLSTKYIIAVRTKNSMPVPEAKKGSDEDSSTA 1100
1101 DRAIPTLVFETESLDEKLRFLKRWMGPRWESTDPRDVIDWMYYRERLATT 1150
1151 INKLVVIPAILLGLKNPVRGCDPPEWASDIIKQRDNPIKQSTLSSYFVKG 1200
1201 KLPTPEPILSEEDEVMEIQVGDIESIGTTPSPSRPPGVPARVVVSKRVRK 1250
1251 TVEETDKSTPSLPHKAPDPFADYAAYIKYAKVKWKHQKAQRDRRAHLFGE 1300
1301 SDNGIASSWVSKNAHLAQDAWHLVSIHAAEKPGQVEASVIIGDKMQRVQI 1350
1351 NVPRKVYVGSREPLKWDKFTDVTNAMAVAEEEQPKYLYRAVMSEDMYQTE 1400
1401 MTNPESPLKDPHVTKIYEADVSPDSRALIELGSTFHLDASTPGILSKGFT 1450
1451 HGFEAKWFKSGDSRSYLQNSGLSYAHIVHVVSSAVEIFVITPTWDAPALV 1500
1501 FVHQSSSSEKLPDISKEYARLRRGERYKQNMDDCTVFSFPDTMQYEVEYC 1550
1551 SNHRRMLQKVSKACDSLSGSRNGQLVFALHSPDRNVDEKVAALARIPCIR 1600
1601 LRPVPPSTAAVGWQRDLVRRLIASFLSHGANISYLVEMARYAKMPLCHVQ 1650
1651 DTRDVIDVSYARRLIQNSVVLWWSAALSTGGALTDQAEVPVANNPGLYTN 1700
1701 ICFEIKIEHLVLNALLQSAVIQDTEGDIHNELLSNAFNPHALKTLKMVVK 1750
1751 EWWEHGDKKRPPQDLLDNFTVWVYAPESRLFSPQLLYHTQNLTKKTFLYL 1800
1801 AQECRKHQAQLVYADQHKLVLQTEKTELQLVYSYSNYIVRQIRTHPILKY 1850
1851 VSVDITRYWDTFLWMDKWNYGGYSSDVIVDPSKQSESLLMHWHIANFLPE 1900
1901 TLQQEFSKWVQEYIHLLRLRKYPENRTTDVDDMPSDTPMLTDGDKDDAAL 1950
1951 LSDKFFGKGVVSYLHPKLVRRVKLLAQKLSDVLSSGDSIDAFKFPVLPGS 2000
2001 MIQPETNPVVEFAKYVCHIYGINAKANFEVQILLRDLLNIFDINEFSEEG 2050
2051 TFRDPSMSLKLTNMMCFKCKNPCDLDLCKDSCCTKSGFRCPLCNSLYDMV 2100
2101 IVEQRLVGQLQRMILEYETQDFRCDKCRRVKEYELTEFCPCSGSWVTIMS 2150
2151 AEDVHKELSIYDRCARWFELKMLGSFLRQLGYV 2183
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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