 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q96PE3 from www.uniprot.org...
The NucPred score for your sequence is 0.57 (see score help below)
1 MTAREHSPRHGARARAMQRASTIDVAADMLGLSLAGNIQDPDEPILEFSL 50
51 ACSELHTPSLDRKPNSFVAVSVTTPPQAFWTKHAQTEIIEGTNNPIFLSS 100
101 IAFFQDSLINQMTQVKLSVYDVKDRSQGTMYLLGSGTFIVKDLLQDRHHR 150
151 LHLTLRSAESDRVGNITVIGWQMEEKSDQRPPVTRSVDTVNGRMVLPVDE 200
201 SLTEALGIRSKYASLRKDTLLKSVFGGAICRMYRFPTTDGNHLRILEQMA 250
251 ESVLSLHVPRQFVKLLLEEDAARVCELEELGELSPCWESLRRQIVTQYQT 300
301 IILTYQENLTDLHQYRGPSFKASSLKADKKLEFVPTNLHIQRMRVQDDGG 350
351 SDQNYDIVTIGAPAAHCQGFKSGGLRKKLHKFEETKKHFEECCTSSGCQS 400
401 IIYIPQDVVRAKEIIAQINTLKTQVSYYAERLSRAAKDRSATGLERTLAI 450
451 LADKTRQLVTVCDCKLLANSIHGLNAARPDYIASKASPTSTEEEQVMLRN 500
501 DQDTLMARWTGRNSRSSLQVDWHEEEWEKVWLNVDKSLECIIQRVDKLLQ 550
551 KERLHGEGCEDVFPCAGSCTSKKGNPDSHAYWIRPEDPFCDVPSSPCPST 600
601 MPSTACHPHLTTHCSPPPEESSPGEWSEALYPLLTTLTDCVAMMSDKAKK 650
651 AMVFLLMQDSAPTIATYLSLQYRRDVVFCQTLTALICGFIIKLRNCLHDD 700
701 GFLRQLYTIGLLAQFESLLSTYGEELAMLEDMSLGIMDLRNVTFKVTQAT 750
751 SSASADMLPVITGNRDGFNVRVPLPGPLFDALPREIQSGMLLRVQPVLFN 800
801 VGINEQQTLAERFGDTSLQEVINVESLVRLNSYFEQFKEVLPEDCLPRSR 850
851 SQTCLPELLRFLGQNVHARKNKNVDILWQAAEICRRLNGVRFTSCKSAKD 900
901 RTAMSVTLEQCLILQHEHGMAPQVFTQALECMRSEGCRRENTMKNVGSRK 950
951 YAFNSLQLKAFPKHYRPPEGTYGKVET 977
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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