 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching O60524 from www.uniprot.org...
The NucPred score for your sequence is 0.86 (see score help below)
1 MKSRFSTIDLRAVLAELNASLLGMRVNNVYDVDNKTYLIRLQKPDFKATL 50
51 LLESGIRIHTTEFEWPKNMMPSSFAMKCRKHLKSRRLVSAKQLGVDRIVD 100
101 FQFGSDEAAYHLIIELYDRGNIVLTDYEYVILNILRFRTDEADDVKFAVR 150
151 ERYPLDHARAAEPLLTLERLTEIVASAPKGELLKRVLNPLLPYGPALIEH 200
201 CLLENGFSGNVKVDEKLETKDIEKVLVSLQKAEDYMKTTSNFSGKGYIIQ 250
251 KREIKPSLEADKPVEDILTYEEFHPFLFSQHSQCPYIEFESFDKAVDEFY 300
301 SKIEGQKIDLKALQQEKQALKKLDNVRKDHENRLEALQQAQEIDKLKGEL 350
351 IEMNLQIVDRAIQVVRSALANQIDWTEIGLIVKEAQAQGDPVASAIKELK 400
401 LQTNHVTMLLRNPYLLSEEEDDDVDGDVNVEKNETEPPKGKKKKQKNKQL 450
451 QKPQKNKPLLVDVDLSLSAYANAKKYYDHKRYAAKKTQKTVEAAEKAFKS 500
501 AEKKTKQTLKEVQTVTSIQKARKVYWFEKFLWFISSENYLIIGGRDQQQN 550
551 EIIVKRYLTPGDIYVHADLHGATSCVIKNPTGEPIPPRTLTEAGTMALCY 600
601 SAAWDARVITSAWWVYHHQVSKTAPTGEYLTTGSFMIRGKKNFLPPSYLM 650
651 MGFSFLFKVDESCVWRHQGERKVRVQDEDMETLASCTSELISEEMEQLDG 700
701 GDTSSDEDKEEHETPVEVELMTQVDQEDITLQSGRDELNEELIQEESSED 750
751 EGEYEEVRKDQDSVGEMKDEGEETLNYPDTTIDLSHLQPQRSIQKLASKE 800
801 ESSNSSDSKSQSRRHLSAKERREMKKKKLPSDSGDLEALEGKDKEKESTV 850
851 HIETHQNTSKNVAAVQPMKRGQKSKMKKMKEKYKDQDEEDRELIMKLLGS 900
901 AGSNKEEKGKKGKKGKTKDEPVKKQPQKPRGGQRVSDNIKKETPFLEVIT 950
951 HELQDFAVDDPHDDKEEQDLDQQGNEENLFDSLTGQPHPEDVLLFAIPIC 1000
1001 APYTTMTNYKYKVKLTPGVQKKGKAAKTALNSFMHSKEATAREKDLFRSV 1050
1051 KDTDLSRNIPGKVKVSAPNLLNVKRK 1076
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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