 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P25365 from www.uniprot.org...
The NucPred score for your sequence is 0.39 (see score help below)
1 MSGNSANYDVGYPIYGAKFINEGTLLVAGGGGQFNSSFPNKITALKVNFQ 50
51 KKKHIRRFREITLDSIDDAPTSLDCNNNLILVGCNELFNDSSMENVNHHL 100
101 RKFVFEQEHLKFVASIDFNRTTDPSVFTKFVYINQRATVAAIASSEVPTV 150
151 IRIIDPRNLTENYEIETGREVNDLHFAPNGILLSYITSNSLEVASVRDGN 200
201 FVARKTDFDKNLVLSNIRFLNDNTLLVAASLSNSDGVSLLKLGVSSKGVK 250
251 ILKTASFMFDLNGITSMDVSPNKKFVALSSNDNLVAIVSVEKLKLVQLVP 300
301 RVHESTITKVTFSPDSRYLASTSMGNTINVLKLSGTSSSILRNIWKFFLN 350
351 FVLLVVLAGAIQLGYKHNVHGFIYKHAHDIYKSKFKENTTIDQGSSSYFT 400
401 INDDYRGITESADIISATDVASDIETEFSSFDTSTMRTTTEDEQKFVWIS 450
451 SSADSQFTSADIPTSASSSSSSSSSSFYEESVTNEPIVSSPTSEITKPLA 500
501 SPTEPNIVEKPSLPLNSESIDLLSSSSNSITEYPEPTPDLEEKLSSLIVE 550
551 QSESEITTDRESVSKLLSTESPSLSHMPSSSSSSLSLSSSLTTSPTTALS 600
601 TSTATAVTTTQTNPTNDAANTSFLDNSKPASTREIYKTKIITEVITKIEY 650
651 RNIPASDSNAEAEQYVTTSSSMLLTPTDTMVSSPVSEIDPIASELERMVE 700
701 TPTHSISIASEFDSVASNLIPNEEILSTSASQDSISSHPSTFSDSSITSG 750
751 FQSIEVSTVTSSVLASESIPSISDSTFSKFHSISEPVSSAIVETATSSFS 800
801 KTETKTSRVIAFSTEDSERSSALIDNSEYTSVLADNLEPTSVLADNSEPT 850
851 SVLADSSEPTSVFTDAVQSPKTSVGQSSLSESTNIEGTSMASMIFSSSGA 900
901 SIGALSDIGKGTLSVESASSTVAQPMPGVTTTAPSFVSSPHKISASSIDA 950
951 SGFVQKEIMIEVQSSKDSSEAFGVRHKISENVNTPVSRMLTTEMQASGTV 1000
1001 DVTEDVSLSSEVISALNVEITSLPNPVAPPQTIAAPLNNNSNTNIVNDDN 1050
1051 AVAGTVNYAGLHDEL 1065
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.) |
Go back to the NucPred Home Page.