| 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 |
| Q678S9 UniProt NPD GO | CYB_LOBCR | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q34952 UniProt NPD GO | CYB_LORTA | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| O48100 UniProt NPD GO | CYB_LOXBI | Cytochrome b | 0.02 | - | end | 10 * | 371 | ||||
| Q34945 UniProt NPD GO | CYB_LUMTE | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| O03473 UniProt NPD GO | CYB_MACGI | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O03474 UniProt NPD GO | CYB_MACRU | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q9TEB4 UniProt NPD GO | CYB_MARFA | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q8WGL0 UniProt NPD GO | CYB_MELME | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q36922 UniProt NPD GO | CYB_MICAR | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| Q35019 UniProt NPD GO | CYB_MIRLE | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q678S3 UniProt NPD GO | CYB_MONMN | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q35078 UniProt NPD GO | CYB_MURRO | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| P92651 UniProt NPD GO | CYB_MUSAV | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q957A4 UniProt NPD GO | CYB_MYOMO | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q9G2W6 UniProt NPD GO | CYB_MYXGL | Cytochrome b | 0.02 | - | end | 8 * | 385 | ||||
| P34872 UniProt NPD GO | CYB_NEGBR | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35172 UniProt NPD GO | CYB_NINRI | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O20435 UniProt NPD GO | CYB_NINTI | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35196 UniProt NPD GO | CYB_NINYV | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O03538 UniProt NPD GO | CYB_NOTPE | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O03478 UniProt NPD GO | CYB_NOTTY | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q9TDM3 UniProt NPD GO | CYB_ORCBR | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q94SA4 UniProt NPD GO | CYB_PAGMA | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| Q9G250 UniProt NPD GO | CYB_PANBA | Cytochrome b | 0.02 | - | end | 8 * | 372 | ||||
| Q35380 UniProt NPD GO | CYB_PARBI | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O79219 UniProt NPD GO | CYB_PELGE | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| O79220 UniProt NPD GO | CYB_PELMG | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| O79221 UniProt NPD GO | CYB_PELUR | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| Q94T21 UniProt NPD GO | CYB_PERTA | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| Q35534 UniProt NPD GO | CYB_PETMA | Cytochrome b | 0.02 | - | end | 9 * | 396 | ||||
| Q35409 UniProt NPD GO | CYB_PHACL | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35673 UniProt NPD GO | CYB_PHATA | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| O03811 UniProt NPD GO | CYB_PHOPH | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| P48877 UniProt NPD GO | CYB_PICCA | Cytochrome b | 0.02 | - | end | 10 * | 386 | ||||
| Q36507 UniProt NPD GO | CYB_PICPJ | Cytochrome b | 0.02 | - | end | 10 * | 386 | ||||
| O99253 UniProt NPD GO | CYB_PLABE | Cytochrome b | 0.02 | - | end | 10 * | 376 | ||||
| Q35459 UniProt NPD GO | CYB_PLAGI | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35533 UniProt NPD GO | CYB_PLAMS | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35532 UniProt NPD GO | CYB_PLAMU | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35675 UniProt NPD GO | CYB_PLATE | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q95920 UniProt NPD GO | CYB_POLOR | Cytochrome b | 0.02 | - | end | 9 * | 380 | ||||
| Q9MG84 UniProt NPD GO | CYB_PONBL | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| P34873 UniProt NPD GO | CYB_PRIGL | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q9G2U4 UniProt NPD GO | CYB_PROCU | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| Q9ZY49 UniProt NPD GO | CYB_PSECU | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| O03543 UniProt NPD GO | CYB_PSEMD | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q35553 UniProt NPD GO | CYB_PSENI | Cytochrome b | 0.02 | - | end | 8 * | 381 | ||||
| Q35695 UniProt NPD GO | CYB_PSEWO | Cytochrome b | 0.02 | - | end | 9 * | 381 | ||||
| Q5UVI5 UniProt NPD GO | CYB_PUDPU | Cytochrome b | 0.02 | - | end | 9 * | 379 | ||||
| O48106 UniProt NPD GO | CYB_PYTMO | Cytochrome b | 0.02 | - | end | 10 * | 371 |
You are viewing entries 83001 to 83050 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.) |