| 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 |
| Q9XP89 UniProt NPD GO | CYB_SMIAI | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| O79451 UniProt NPD GO | CYB_SORCI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q94QQ7 UniProt NPD GO | CYB_SORFM | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79993 UniProt NPD GO | CYB_SORFU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79452 UniProt NPD GO | CYB_SORHA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79453 UniProt NPD GO | CYB_SORHY | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O80005 UniProt NPD GO | CYB_SORIS | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8SE00 UniProt NPD GO | CYB_SORJA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79454 UniProt NPD GO | CYB_SORMI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79455 UniProt NPD GO | CYB_SORMN | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79969 UniProt NPD GO | CYB_SORMO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O21416 UniProt NPD GO | CYB_SORMR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79460 UniProt NPD GO | CYB_SORPA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8SE72 UniProt NPD GO | CYB_SORPE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79967 UniProt NPD GO | CYB_SORSM | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79465 UniProt NPD GO | CYB_SORTR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O80019 UniProt NPD GO | CYB_SORVA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF74 UniProt NPD GO | CYB_SPEER | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF49 UniProt NPD GO | CYB_SPEMA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9T3Y2 UniProt NPD GO | CYB_SPEMU | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF10 UniProt NPD GO | CYB_SPEPE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF73 UniProt NPD GO | CYB_SPERE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF93 UniProt NPD GO | CYB_SPESP | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TF17 UniProt NPD GO | CYB_SPETE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P34874 UniProt NPD GO | CYB_SPHLE | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| P68092 UniProt NPD GO | CYB_STEAT | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P68093 UniProt NPD GO | CYB_STECL | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P68094 UniProt NPD GO | CYB_STECO | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| P68095 UniProt NPD GO | CYB_STEFR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q1XIQ4 UniProt NPD GO | CYB_SUNST | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8M703 UniProt NPD GO | CYB_SUSBA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9T9B9 UniProt NPD GO | CYB_SYNCA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O63699 UniProt NPD GO | CYB_TAPTE | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O47488 UniProt NPD GO | CYB_TARBA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O78937 UniProt NPD GO | CYB_TAXTA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O79230 UniProt NPD GO | CYB_THAAN | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| O47976 UniProt NPD GO | CYB_THOBO | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q9XNX1 UniProt NPD GO | CYB_THODA | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| P24965 UniProt NPD GO | CYB_TRANA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8SEJ1 UniProt NPD GO | CYB_TRICS | Cytochrome b | 0.01 | - | end | 9 * | 381 | ||||
| Q9T9J2 UniProt NPD GO | CYB_TROMR | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q33568 UniProt NPD GO | CYB_TRYBO | Cytochrome b | 0.01 | - | end | 10 * | 372 | ||||
| Q9TDJ9 UniProt NPD GO | CYB_TURTR | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| O20546 UniProt NPD GO | CYB_TYMBA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q8LWM4 UniProt NPD GO | CYB_URIAL | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q8LWM2 UniProt NPD GO | CYB_URILO | Cytochrome b | 0.01 | - | end | 9 * | 380 | ||||
| Q85DE4 UniProt NPD GO | CYB_UROPI | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q9TDT5 UniProt NPD GO | CYB_UROTA | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q36209 UniProt NPD GO | CYB_URSTH | Cytochrome b | 0.01 | - | end | 9 * | 379 | ||||
| Q36229 UniProt NPD GO | CYB_VARVR | Cytochrome b | 0.01 | - | end | 9 * | 379 |
You are viewing entries 87551 to 87600 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.) |