| 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 |
| O21764 UniProt NPD GO | CYB_CTECO | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| P24951 UniProt NPD GO | CYB_CYPCA | Cytochrome b | 0.03 | - | end | 9 * | 381 | ||||
| O99655 UniProt NPD GO | CYB_CYRMO | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q9TDK4 UniProt NPD GO | CYB_DELCA | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9T4B2 UniProt NPD GO | CYB_DELDE | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O79558 UniProt NPD GO | CYB_DINSE | Cytochrome b | 0.03 | - | end | 8 * | 372 | ||||
| Q9G964 UniProt NPD GO | CYB_ELAVU | Cytochrome b | 0.03 | - | end | 9 * | 372 | ||||
| Q37006 UniProt NPD GO | CYB_ENHLU | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O48052 UniProt NPD GO | CYB_EPIMO | Cytochrome b | 0.03 | - | end | 10 * | 371 | ||||
| O48073 UniProt NPD GO | CYB_ERYEL | Cytochrome b | 0.03 | - | end | 10 * | 371 | ||||
| O48079 UniProt NPD GO | CYB_ERYMI | Cytochrome b | 0.03 | - | end | 10 * | 371 | ||||
| O48080 UniProt NPD GO | CYB_ERYMN | Cytochrome b | 0.03 | - | end | 10 * | 371 | ||||
| O48085 UniProt NPD GO | CYB_ERYTA | Cytochrome b | 0.03 | - | end | 8 * | 371 | ||||
| Q34459 UniProt NPD GO | CYB_EULFC | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O99798 UniProt NPD GO | CYB_EULMF | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O99797 UniProt NPD GO | CYB_EULMM | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O21166 UniProt NPD GO | CYB_FALPE | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| O48087 UniProt NPD GO | CYB_FARAB | Cytochrome b | 0.03 | - | end | 8 * | 371 | ||||
| Q9TDN1 UniProt NPD GO | CYB_FERAT | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q37080 UniProt NPD GO | CYB_GADMO | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| P34868 UniProt NPD GO | CYB_GALCU | Cytochrome b | 0.03 | - | end | 9 * | 381 | ||||
| Q9BA02 UniProt NPD GO | CYB_GONGR | Cytochrome b | 0.03 | - | end | 9 * | 382 | ||||
| Q34724 UniProt NPD GO | CYB_HAPGR | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9MLK7 UniProt NPD GO | CYB_HEMHA | Cytochrome b | 0.03 | - | end | 8 * | 372 | ||||
| Q9MLI8 UniProt NPD GO | CYB_HETSI | Cytochrome b | 0.03 | - | end | 10 * | 372 | ||||
| Q9G7U1 UniProt NPD GO | CYB_INIGE | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9TDL6 UniProt NPD GO | CYB_LAGAU | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9TDL7 UniProt NPD GO | CYB_LAGCR | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9TDL9 UniProt NPD GO | CYB_LAGOB | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9TA00 UniProt NPD GO | CYB_LAMFL | Cytochrome b | 0.03 | - | end | 9 * | 396 | ||||
| Q34876 UniProt NPD GO | CYB_LEMCA | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q5VJ50 UniProt NPD GO | CYB_LEPRU | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| P29664 UniProt NPD GO | CYB_LEPSP | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q9TDM1 UniProt NPD GO | CYB_LISBO | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9TDM0 UniProt NPD GO | CYB_LISPE | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q34900 UniProt NPD GO | CYB_LUTLU | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q9MLK5 UniProt NPD GO | CYB_MICEU | Cytochrome b | 0.03 | - | end | 8 * | 371 | ||||
| Q9MI35 UniProt NPD GO | CYB_MICFO | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q3YLA8 UniProt NPD GO | CYB_MICLH | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| P56731 UniProt NPD GO | CYB_MICLO | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q9MI32 UniProt NPD GO | CYB_MICME | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q9T7M0 UniProt NPD GO | CYB_MICOE | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q9G1Z0 UniProt NPD GO | CYB_MICRF | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q34972 UniProt NPD GO | CYB_MIRCO | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| P92657 UniProt NPD GO | CYB_MONMO | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| O79512 UniProt NPD GO | CYB_MYCAM | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| O20603 UniProt NPD GO | CYB_MYOWA | Cytochrome b | 0.03 | - | end | 9 * | 381 | ||||
| Q9B7V7 UniProt NPD GO | CYB_NEOPH | Cytochrome b | 0.03 | - | end | 9 * | 379 | ||||
| Q35160 UniProt NPD GO | CYB_NUMME | Cytochrome b | 0.03 | - | end | 9 * | 380 | ||||
| Q678S8 UniProt NPD GO | CYB_OMMRO | Cytochrome b | 0.03 | - | end | 9 * | 379 |
You are viewing entries 79551 to 79600 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.) |