| 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 |
| O79216 UniProt NPD GO | CYB_PACTU | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q35377 UniProt NPD GO | CYB_PARAP | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q85DF8 UniProt NPD GO | CYB_PARBE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9T9C8 UniProt NPD GO | CYB_PAROL | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9ZZT8 UniProt NPD GO | CYB_PEA | Cytochrome b | 0.01 | - | end | 9 * | 392 | ||||
| O47714 UniProt NPD GO | CYB_PELCP | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79218 UniProt NPD GO | CYB_PELGA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79217 UniProt NPD GO | CYB_PELMA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9XNU5 UniProt NPD GO | CYB_PERTU | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q9T7P1 UniProt NPD GO | CYB_PETCO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79936 UniProt NPD GO | CYB_PHAAA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9TEU7 UniProt NPD GO | CYB_PHACI | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q35425 UniProt NPD GO | CYB_PHADO | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q5VJ57 UniProt NPD GO | CYB_PHAFU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9XNN3 UniProt NPD GO | CYB_PHEIN | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q35438 UniProt NPD GO | CYB_PHOFA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35468 UniProt NPD GO | CYB_PHOHI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35505 UniProt NPD GO | CYB_PHOLR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q00530 UniProt NPD GO | CYB_PHOVI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9ZZF6 UniProt NPD GO | CYB_PHYXA | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q8LW83 UniProt NPD GO | CYB_PINIM | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q94S78 UniProt NPD GO | CYB_PLABI | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79657 UniProt NPD GO | CYB_POLBI | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9G2S5 UniProt NPD GO | CYB_POLSP | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q6ELU6 UniProt NPD GO | CYB_PROCS | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9G2U7 UniProt NPD GO | CYB_PROCY | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q5VJ61 UniProt NPD GO | CYB_PRODD | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79222 UniProt NPD GO | CYB_PROPA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q35677 UniProt NPD GO | CYB_PROTA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79223 UniProt NPD GO | CYB_PROWE | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O78782 UniProt NPD GO | CYB_PSENA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79224 UniProt NPD GO | CYB_PTEHY | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79225 UniProt NPD GO | CYB_PUFNA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79226 UniProt NPD GO | CYB_PUFOP | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q35653 UniProt NPD GO | CYB_PUFTE | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79227 UniProt NPD GO | CYB_PYGAN | Cytochrome b | 0.01 | - | end | 8 * | 380 | ||||
| Q9T6R3 UniProt NPD GO | CYB_RANRU | Cytochrome b | 0.01 | - | end | 8 * | 380 | ||||
| P00159 UniProt NPD GO | CYB_RAT | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9XLE0 UniProt NPD GO | CYB_REDRE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O99828 UniProt NPD GO | CYB_RHISA | Cytochrome b | 0.01 | - | end | 8 * | 358 | ||||
| Q8M354 UniProt NPD GO | CYB_SACCA | Cytochrome b | 0.01 | - | end | 9 * | 390 | ||||
| Q35819 UniProt NPD GO | CYB_SACDO | Cytochrome b | 0.01 | - | end | 9 * | 385 | ||||
| Q7YEV2 UniProt NPD GO | CYB_SACSE | Cytochrome b | 0.01 | - | end | 9 * | 385 | ||||
| Q85PK7 UniProt NPD GO | CYB_SALCN | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q35925 UniProt NPD GO | CYB_SALSA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P29671 UniProt NPD GO | CYB_SALTR | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q35861 UniProt NPD GO | CYB_SARHA | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q85C43 UniProt NPD GO | CYB_SCAOR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q85DF2 UniProt NPD GO | CYB_SCATO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79413 UniProt NPD GO | CYB_SCYCA | Cytochrome b | 0.01 | - | end | 9 * | 381 |
You are viewing entries 87501 to 87550 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.) |