 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q3TJ91 from www.uniprot.org...
The NucPred score for your sequence is 0.51 (see score help below)
1 MRRFLRTGHDPARERLKRDLFQFNKTVEHGFPHQPSALGYSPSLRILAIG 50
51 TRSGAVKLYGAPGVEFMGLHKENNAVLQIHFLPGQCQLVTLLDDNSLHLW 100
101 SLKVKGGVSELQEEESFTLRGPPGAAPSATQVTEILPHSSGELLYLGTES 150
151 GNVFVVQLPGFRTLHDRTICSDEVLQWLPEEARHRRVFEMVEALQEHPRD 200
201 PNQILIGYSRGLVVIWDLQGSRALSHFLSSQQLENASWQRDGCLIVTCHS 250
251 DGSHCQWPVSSDTQNPEPLRSSIPYGPFPCKAITKIFWLTTRQGLPFTIF 300
301 QGGMPRASYGDRHCISVVHNGQQTAFDFTSRVIDFTVLSEADPAAAFDDP 350
351 YALVVLAEEELVVIDLQTPGWPPVQLPYLASLHCSAITCSHHVSNIPLKL 400
401 WERIIAAGSRQNSHFSTMEWPIDGGTSLAPPPPQRDLLLTGHEDGTVRFW 450
451 DASGVCLRLLYKLSTVRVFLTDTDPSENLIAQGEDEWPPLRKVGSFDPYS 500
501 DDPRLGIQKIFLCKYSGYLAVAGTAGQVLVLELNDEAAEHAVEQVEADLL 550
551 QDQEGYRWKGHERLAARPGPVCFEAGFQPFVLVQCQPPAVVTSLALHSEW 600
601 RLVAFGTSHGFGLFDHQQRRQVFVKCTLHPSDQLALEGPLSRVKSLKKSL 650
651 RQSFRRMRRSRVSSHKRRPGGPTGEAQAQAVNIKAERTGLQNMELAPVQR 700
701 KIEARSAEDSFTGFVRTLYFADTYLRDSSRHCPSLWAGTNGGTVYAFSLR 750
751 VPPAERRTDEPVRAEQAKEIQLMHRAPVVGILVLDGHNVPLPEPLEVAHD 800
801 LSKSPDMQGSHQLLVVSEEQFKVFTLPKVSAKLKLKLTALEGSRVRRVGV 850
851 AHFGSCRAEDYGEHHLAVLTNLGDIQVVSMPLLKPQVRYSCIRREDVSGI 900
901 ASCVFTKYGQGFYLISPSEFERFSLSTKWLVEPRCLVDSTKAKKHNRPSN 950
951 GNGTGLKMTSSGHVRNSKSQSDGDEKKPGPVMEHALLNDAWVLKEIQSTL 1000
1001 EGDRRSYGNWHPHRVAVGCRLSNGEAE 1027
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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