| 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 |
| Q92342 UniProt NPD GO | YDI4_SCHPO | Hypothetical protein C1F8.04c in chromosome I | 0.01 | - | cyt | 0 | 463 | ||||
| Q10354 UniProt NPD GO | YDB1_SCHPO | Hypothetical protein C22E12.01 in chromosome I | 0.01 | - | end | 10 * | Membrane; multi-pass membrane protein (Potential) | 374 | |||
| P34345 UniProt NPD GO | YK67_CAEEL | Hypothetical protein C29E4.7 in chromosome III | 0.01 | - | nuc | 0 | 250 | ||||
| Q8IG42 UniProt NPD GO | YK69_CAEEL | Hypothetical protein C29E4.9 | 0.01 | - | nuc | 0 | 74 | ||||
| Q9P7Z4 UniProt NPD GO | YGID_SCHPO | Hypothetical protein C2A9.13 in chromosome II | 0.01 | - | cyt | 0 | 48 | ||||
| Q9Y7L9 UniProt NPD GO | YGJ8_SCHPO | Hypothetical protein C685.08 in chromosome II | 0.01 | - | cyt | 0 | 97 | ||||
| Q9URX2 UniProt NPD GO | YLX4_SCHPO | Hypothetical protein C922.04 precursor | 0.01 | - | end | 0 | 117 | ||||
| Q9VGQ9 UniProt NPD GO | Y701_DROME | Hypothetical protein CG14701 | 0.01 | - | cyt | 0 | 86 | ||||
| Q8SWH5 UniProt NPD GO | Y207_ENCCU | Hypothetical protein ECU02_0070 | 0.01 | - | end | 8 * | 314 | ||||
| Q8SW75 UniProt NPD GO | Y312_ENCCU | Hypothetical protein ECU03_0120 | 0.01 | - | end | 6 * | 276 | ||||
| Q8SV58 UniProt NPD GO | Y6G7_ENCCU | Hypothetical protein ECU06_1670 | 0.01 | - | cyt | 0 | 200 | ||||
| Q09315 UniProt NPD GO | YQT3_CAEEL | Hypothetical protein F25B5.3 | 0.01 | - | mit | 0 | 376 | ||||
| Q09551 UniProt NPD GO | YQV1_CAEEL | Hypothetical protein F27E5.1 precursor | 0.01 | - | exc | 0 | 401 | ||||
| O17883 UniProt NPD GO | YX7O_CAEEL | Hypothetical protein F52F12.7 in chromosome I | 0.01 | - | cyt | 0 | 241 | ||||
| P50439 UniProt NPD GO | YV59_CAEEL | Hypothetical protein F53A9.9 | 0.01 | - | nuc | 0 | 147 | ||||
| Q21102 UniProt NPD GO | YZ3I_CAEEL | Hypothetical protein K01H12.1 in chromosome IV | 0.01 | - | cyt | 0 | 80 | ||||
| P32740 UniProt NPD GO | YNH2_CAEEL | Hypothetical protein R107.2 in chromosome III | 0.01 | - | cyt | 0 | 307 | ||||
| P51073 UniProt NPD GO | RJ39_FRAAN | Hypothetical protein RJ39 (Fragment) | 0.01 | - | cyt | 0 | 88 | ||||
| P82621 UniProt NPD GO | SCRL2_ARATH | Hypothetical protein SCRL2 precursor | 0.01 | - | mit | 1 * | 92 | ||||
| Q22361 UniProt NPD GO | YFR3_CAEEL | Hypothetical protein T09E8.3 in chromosome V | 0.01 | - | end | 3 * | Membrane; multi-pass membrane protein (Potential) | 145 | |||
| Q09359 UniProt NPD GO | YS11_CAEEL | Hypothetical protein ZK1307.1 | 0.01 | - | cyt | 0 | 279 | ||||
| Q09362 UniProt NPD GO | YS14_CAEEL | Hypothetical protein ZK1307.4 | 0.01 | - | nuc | 0 | 115 | ||||
| Q95ZI6 UniProt NPD GO | YOJ9_CAEEL | Hypothetical protein ZK353.9 | 0.01 | - | cyt | 0 | 208 | ||||
| P34674 UniProt NPD GO | YO24_CAEEL | Hypothetical protein ZK688.4 | 0.01 | - | mit | 1 * | 67 | ||||
| O74486 UniProt NPD GO | WTF19_SCHPO | Hypothetical protein wtf19 | 0.01 | - | end | 8 | Membrane; multi-pass membrane protein (Potential) | 393 | |||
| Q8TF80 UniProt NPD GO | WTF5_SCHPO | Hypothetical protein wtf5 | 0.01 | - | end | 3 | Membrane; multi-pass membrane protein (Potential) | 269 | |||
| O78493 UniProt NPD GO | YCF43_GUITH | Hypothetical tatC-like protein ycf43 | 0.01 | - | end | 7 * | Plastid; chloroplast; chloroplast membrane; multi-pass membrane protein (Potential) | 290 | |||
| Q6WIT9 UniProt NPD GO | HPRT_CANFA | Hypoxanthine-guanine phosphoribosyltransferase (EC 2.4.2.8) (HGPRT) (HGPRTase) | 0.01 | - | cyt | 0 | Cytoplasm (By similarity) | 217 | |||
| P43152 UniProt NPD GO | HPRT_LEIDO | Hypoxanthine-guanine phosphoribosyltransferase (EC 2.4.2.8) (HGPRT) (HGPRTase) | 0.01 | - | cyt | 0 | Cytoplasm | 211 | |||
| Q7Z096 UniProt NPD GO | CXI4_CONRA | I-superfamily conotoxin R11.4 precursor (r11c) (Fragment) | 0.01 | - | nuc | 0 | Secreted protein | 44 | |||
| P69495 UniProt NPD GO | CXI1_CONIM | I-superfamily conotoxin-1 precursor | 0.01 | - | exc | 1 * | Secreted protein (By similarity) | 64 | |||
| P02733 UniProt NPD GO | ANP3_PSEAM | Ice-structuring protein 3 (ISP 3) (Antifreeze peptide 3) | 0.01 | - | mit | 1 * | 37 | ||||
| P12100 UniProt NPD GO | ANP1_PACBR | Ice-structuring protein AB1 (ISP AB1) (Antifreeze peptide AB1) | 0.01 | - | nuc | 0 | 63 | ||||
| P12101 UniProt NPD GO | ANP2_PACBR | Ice-structuring protein AB2 (ISP AB2) (Antifreeze peptide AB2) | 0.01 | - | cyt | 0 | 63 | ||||
| Q99013 UniProt NPD GO | ANPB_PSEAM | Ice-structuring protein B precursor (ISP B) (Antifreeze protein B) (HPLC8) | 0.01 | - | vac | 0 | Secreted protein; extracellular space | extracellular space [IDA] | 82 | ||
| P19605 UniProt NPD GO | ANPE_MACAM | Ice-structuring protein C10 precursor (ISP C10) (Antifreeze protein C10) | 0.01 | - | exc | 0 | 87 | ||||
| P19604 UniProt NPD GO | ANPD_MACAM | Ice-structuring protein C7 precursor (ISP C7) (Antifreeze protein C7) | 0.01 | - | exc | 0 | 87 | ||||
| P20421 UniProt NPD GO | ANP5_MYOAE | Ice-structuring protein GS-5 (ISP GS-5) (Antifreeze peptide GS-5) | 0.01 | - | nuc | 0 | 33 | ||||
| P20617 UniProt NPD GO | ANP8_MYOAE | Ice-structuring protein GS-8 (ISP GS-8) (Antifreeze peptide GS-8) | 0.01 | - | cyt | 0 | 40 | ||||
| P24028 UniProt NPD GO | ANP1_LYCPO | Ice-structuring protein LP (ISP LP) (Antifreeze protein LP) | 0.01 | - | cyt | 0 | 66 | ||||
| P07457 UniProt NPD GO | ANP1_MACAM | Ice-structuring protein SP1-C precursor (ISP SP1-C) (Antifreeze protein SP1-C) | 0.01 | - | exc | 0 | 87 | ||||
| P19607 UniProt NPD GO | ANP5_MACAM | Ice-structuring protein lambda OP-5 precursor (ISP lambda OP-5) (Antifreeze protein lambda OP-5) | 0.01 | - | exc | 0 | 87 | ||||
| P01748 UniProt NPD GO | HV04_MOUSE | Ig heavy chain V region 23 precursor | 0.01 | - | vac | 0 | 117 | ||||
| P18526 UniProt NPD GO | HV55_MOUSE | Ig heavy chain V region 345 precursor | 0.01 | - | vac | 0 | 117 | ||||
| P18529 UniProt NPD GO | HV58_MOUSE | Ig heavy chain V region 5-76 precursor | 0.01 | - | exc | 0 | 1I8K | 117 | |||
| P18525 UniProt NPD GO | HV54_MOUSE | Ig heavy chain V region 5-84 precursor | 0.01 | - | mit | 0 | 1AR1 | 117 | |||
| P06330 UniProt NPD GO | HV51_MOUSE | Ig heavy chain V region AC38 205.12 | 0.01 | - | nuc | 0 | 118 | ||||
| P01803 UniProt NPD GO | HV34_MOUSE | Ig heavy chain V region AMPC1 | 0.01 | - | cyt | 0 | 113 | ||||
| P04215 UniProt NPD GO | HV02_HETFR | Ig heavy chain V region HC-3 (Fragment) | 0.01 | - | cyt | 0 | 89 | ||||
| P01805 UniProt NPD GO | HV01_RAT | Ig heavy chain V region IR2 precursor | 0.01 | - | mit | 0 | 142 |
You are viewing entries 89101 to 89150 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.) |