 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q7RX99 from www.uniprot.org...
The NucPred score for your sequence is 0.96 (see score help below)
1 MSDRTSASSSSRRTKQNYDAIGSFVIDQEIGKGSFAKVYLGRHKVTGALV 50
51 AVKSVELARLNKKLKENLYGEIQILKTLRHPHIVALHDCVESSTHINLIM 100
101 EYCELGDLSLFIKKRDKLITNPYTHDLARKYPVYPNAGLNEVVTRHFLKQ 150
151 LASALQFLRAGDFVHRDVKPQNLLLLPSPHMMANNKTAKHIMSGSYDSFT 200
201 PAAGLASAPMLKLADFGFARVLPSTSLAETLCGSPLYMAPEILRYEKYDA 250
251 KADLWSVGTVLYEMVTGRPPFKASNHVELLRKIESSGDVIKFTRESVVSQ 300
301 EMKGLIRALLKKNPVERISFEDLFNHPVVTEPIPGLVEDDIPKPPRRRSL 350
351 KEERPVSRAEDSLVPSRKQSLRKDLADREGAPQTAGPSSPKPRRSSPLAT 400
401 PNEPVEISKPNYFQIPPREDRLSYSPRKEAADGLGIKRPQVQPSTSAPTR 450
451 PSSYVDRRHRSSNASLRAPVREANPPPNDVTRTKPRGMGTKPMTEEERAA 500
501 QDIAFERDYVLVDKKHLEVNALADQISMYPQQPQSPKSAQIVRRATQQGS 550
551 PTSTSGAVPSPPSRALQLAQGHSRQGSYDKALGTSPSKATSVISKAIQDA 600
601 SLRLFGFKYAPHLLSKGPSPVPMYNPFPTYPAPNTPTGLISDGKQGTPVD 650
651 EDSRVAQCIEDHATRSDVVYGFAEVKYKQLVPLAPSMDHGLGGAPIEKSA 700
701 EEDGLTAEAIVSLSEEALVLYVKALTLLAKSMDIASLWWSRKNKVESTNS 750
751 ITSAARDSANSEALALRINGAVQWIRSRFNEVLEKAEIVRLKLAEAQKRL 800
801 PEDHPSHPNNHANDSTALNSLSTVGVFLSEGISAERLMYDRAIEMSRAAA 850
851 INEIANEDLPGCEISYITAIRMLEAVLDQDDDHLPKRKVSGASKEEKTGA 900
901 NELSDEMNNEDKQVVQNVINMVNNRLTVLRKKLRLIESASKAQQQEEQKQ 950
951 QNLMRRRSGEMTSRSVPA 968
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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