| 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 |
| Q5VJ44 UniProt NPD GO | CYB_EUOEL | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q85PP1 UniProt NPD GO | CYB_FOSFO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79201 UniProt NPD GO | CYB_FREGA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79200 UniProt NPD GO | CYB_FRETR | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79202 UniProt NPD GO | CYB_FULGL | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q85PN8 UniProt NPD GO | CYB_GALFA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q5VJ45 UniProt NPD GO | CYB_GALGR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9G9J7 UniProt NPD GO | CYB_GALMA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q5VJ42 UniProt NPD GO | CYB_GALSE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79203 UniProt NPD GO | CYB_GARNE | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O48372 UniProt NPD GO | CYB_GLASA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34677 UniProt NPD GO | CYB_GLIVE | Cytochrome b | 0.01 | - | end | 9 * | 382 | ||||
| Q34534 UniProt NPD GO | CYB_GRUAN | Cytochrome b | 0.01 | - | end | 8 * | 380 | ||||
| Q33954 UniProt NPD GO | CYB_GRUCA | Cytochrome b | 0.01 | - | end | 8 * | 380 | ||||
| Q34607 UniProt NPD GO | CYB_GRUNI | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q34653 UniProt NPD GO | CYB_GRURU | Cytochrome b | 0.01 | - | end | 8 * | 380 | ||||
| Q9T7Q5 UniProt NPD GO | CYB_GYMRO | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P29637 UniProt NPD GO | CYB_GYMTI | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79204 UniProt NPD GO | CYB_HALCA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P38593 UniProt NPD GO | CYB_HALGR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q4VKI6 UniProt NPD GO | CYB_HEMHY | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q4VKI7 UniProt NPD GO | CYB_HEMJA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O21175 UniProt NPD GO | CYB_HERCA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q8W9L2 UniProt NPD GO | CYB_HETGU | Cytochrome b | 0.01 | - | end | 8 * | 379 | ||||
| Q34717 UniProt NPD GO | CYB_HIPEQ | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34760 UniProt NPD GO | CYB_HIPNI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P48665 UniProt NPD GO | CYB_HORSE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34732 UniProt NPD GO | CYB_HYDLE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8WA39 UniProt NPD GO | CYB_HYLAL | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q95711 UniProt NPD GO | CYB_HYLLA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O47892 UniProt NPD GO | CYB_HYLLE | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O47893 UniProt NPD GO | CYB_HYLME | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q8LZ94 UniProt NPD GO | CYB_HYPTE | Cytochrome b | 0.01 | - | end | 9 * | 378 | ||||
| Q5VJ58 UniProt NPD GO | CYB_INDIN | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P34870 UniProt NPD GO | CYB_ISUOX | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| P81381 UniProt NPD GO | CYB_KLULA | Cytochrome b | 0.01 | - | end | 9 * | 386 | ||||
| O79360 UniProt NPD GO | CYB_KOBME | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O03810 UniProt NPD GO | CYB_KOGBR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9B7W3 UniProt NPD GO | CYB_KOGSI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O48089 UniProt NPD GO | CYB_LACVV | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9TDJ6 UniProt NPD GO | CYB_LAGHO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34916 UniProt NPD GO | CYB_LAMPA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q36227 UniProt NPD GO | CYB_LAMVI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34902 UniProt NPD GO | CYB_LANLU | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P38594 UniProt NPD GO | CYB_LEPWE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q34893 UniProt NPD GO | CYB_LESIN | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| O48094 UniProt NPD GO | CYB_LIAMS | Cytochrome b | 0.01 | - | end | 10 * | 371 | ||||
| O79207 UniProt NPD GO | CYB_MACGA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O79208 UniProt NPD GO | CYB_MACHA | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| P92671 UniProt NPD GO | CYB_MACRO | Cytochrome b | 0.01 | - | end | 9 * | 381 |
You are viewing entries 87401 to 87450 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.) |