| Authors: Andrea Krings, Amine Heddad, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
| UniProt accession | UniProt ID | UniProt description | NucPred score | Predict- NLS | PSORT II | TMHMM #helices | UniProt annotation for subcellular location | Uniprot GO cellular component | OMIM | PDB | sequence length |
| Q9TAB1 UniProt NPD GO | CYB_MANME | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9TH45 UniProt NPD GO | CYB_MARBB | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9XMC1 UniProt NPD GO | CYB_MARFL | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35075 UniProt NPD GO | CYB_MARLE | Cytochrome b | 0.01 | - | end | 9 * | 382 | ||||
| Q9XP34 UniProt NPD GO | CYB_MARMR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TH56 UniProt NPD GO | CYB_MARVA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8W9F9 UniProt NPD GO | CYB_MASMZ | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P41289 UniProt NPD GO | CYB_MEGNO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P50663 UniProt NPD GO | CYB_MELGA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q85IN4 UniProt NPD GO | CYB_MELMS | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35066 UniProt NPD GO | CYB_MESPE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9GAW6 UniProt NPD GO | CYB_MICMC | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TFX5 UniProt NPD GO | CYB_MICMS | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9G0S9 UniProt NPD GO | CYB_MICMU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35083 UniProt NPD GO | CYB_MICRS | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q34957 UniProt NPD GO | CYB_MONAD | Cytochrome b | 0.01 | - | end | 9 * | 382 | ||||
| P00158 UniProt NPD GO | CYB_MOUSE | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q94SZ7 UniProt NPD GO | CYB_MUGCE | Cytochrome b | 0.01 | - | end | 8 * | 379 | ||||
| Q85RV3 UniProt NPD GO | CYB_MUNCR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q71E89 UniProt NPD GO | CYB_MUNMN | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TDQ7 UniProt NPD GO | CYB_MUNMU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35020 UniProt NPD GO | CYB_MURLO | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q7JE02 UniProt NPD GO | CYB_MUSEV | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8WA47 UniProt NPD GO | CYB_MUSMA | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q35065 UniProt NPD GO | CYB_MUSPU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9MJ99 UniProt NPD GO | CYB_MUSSB | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9B1Z4 UniProt NPD GO | CYB_MUSST | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q957B9 UniProt NPD GO | CYB_MYOBE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q957B5 UniProt NPD GO | CYB_MYODA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q957B3 UniProt NPD GO | CYB_MYOEM | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q7Y8L5 UniProt NPD GO | CYB_MYOFO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9ZZT6 UniProt NPD GO | CYB_MYOGL | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35038 UniProt NPD GO | CYB_MYOME | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q8HQE7 UniProt NPD GO | CYB_MYOPR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q956Y9 UniProt NPD GO | CYB_MYOWE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9T7N5 UniProt NPD GO | CYB_MYSAL | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O21366 UniProt NPD GO | CYB_NEOFO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35157 UniProt NPD GO | CYB_NEOLO | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| O79426 UniProt NPD GO | CYB_NEOMO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q85C06 UniProt NPD GO | CYB_NEUGI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O47890 UniProt NPD GO | CYB_NOMGA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79209 UniProt NPD GO | CYB_OCEOC | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9GBZ0 UniProt NPD GO | CYB_OCHKO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O21807 UniProt NPD GO | CYB_OCTDE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9XM10 UniProt NPD GO | CYB_ONCKE | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P48173 UniProt NPD GO | CYB_ONCMY | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q36461 UniProt NPD GO | CYB_ORNAN | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9G9J4 UniProt NPD GO | CYB_OTOGA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35273 UniProt NPD GO | CYB_OVIMO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79215 UniProt NPD GO | CYB_PACSA | Cytochrome b | 0.01 | - | end | 9 * | 380 |
You are viewing entries 87451 to 87500 of 98716. You can see more proteins by changing the limits in the form at the top of this page, or click here for the next page of proteins .
If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022The authors also look forward to your comments and suggestions. |
| 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.) |