| 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 |
| P02187 UniProt NPD GO | MYG_LOXAF | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02150 UniProt NPD GO | MYG_MACFA | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02194 UniProt NPD GO | MYG_MACRU | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02178 UniProt NPD GO | MYG_MEGNO | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P32428 UniProt NPD GO | MYG_ONDZI | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02196 UniProt NPD GO | MYG_ORNAN | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02145 UniProt NPD GO | MYG_PANTR | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P68084 UniProt NPD GO | MYG_PAPAN | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02148 UniProt NPD GO | MYG_PONPY | Myoglobin | 0.01 | - | mit | 0 | 153 | ||||
| P02155 UniProt NPD GO | MYG_SAISC | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| Q9DGJ0 UniProt NPD GO | MYG_SARCH | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| Q9DGI9 UniProt NPD GO | MYG_SCOJP | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| P68085 UniProt NPD GO | MYG_SEMEN | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| P02195 UniProt NPD GO | MYG_TACAC | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| Q9DGJ2 UniProt NPD GO | MYG_THUAA | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| P02205 UniProt NPD GO | MYG_THUAL | Myoglobin | 0.01 | - | cyt | 0 | 1MYT | 146 | |||
| Q76G09 UniProt NPD GO | MYG_THUOB | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| P68189 UniProt NPD GO | MYG_THUTH | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| P68190 UniProt NPD GO | MYG_THUTO | Myoglobin | 0.01 | - | cyt | 0 | 146 | ||||
| P02165 UniProt NPD GO | MYG_TUPGL | Myoglobin | 0.01 | - | cyt | 0 | 153 | ||||
| Q7M3C1 UniProt NPD GO | MYG_AILME | Myoglobin (Fragment) | 0.01 | - | cyt | 0 | 96 | ||||
| P15160 UniProt NPD GO | GLB_PARCA | Myoglobin (Hemoglobin) | 0.01 | - | mit | 0 | 1UVY | 116 | |||
| P27687 UniProt NPD GO | HEMT2_PHAGO | Myohemerythrin-2 (MHR 2) (Fragment) | 0.01 | - | cyt | 0 | 31 | ||||
| P54696 UniProt NPD GO | MYOH_DICDI | Myosin IH heavy chain (Fragment) | 0.01 | - | cyt | 0 | 99 | ||||
| P07291 UniProt NPD GO | MLE_AEQIR | Myosin essential light chain, striated adductor muscle (E-LC) (Sulfhydryl light chain) (SHLC) | 0.01 | - | cyt | 0 | 1WDC | 156 | |||
| P82159 UniProt NPD GO | MLE1_MUGCA | Myosin light chain 1, skeletal muscle isoform (A1 catalytic) (Alkali) (LC-1) (LC1) | 0.01 | - | cyt | 0 | 186 | ||||
| P02603 UniProt NPD GO | MLE3_RABIT | Myosin light chain 3, skeletal muscle isoform (A2 catalytic) (Alkali myosin light chain 3) (MLC3F) | 0.01 | - | cyt | 0 | 149 | ||||
| P82160 UniProt NPD GO | MLE3_MUGCA | Myosin light chain 3, skeletal muscle isoform (A2 catalytic) (Alkali) (LC-3) (LC3) | 0.01 | - | cyt | 0 | 148 | ||||
| Q09196 UniProt NPD GO | MLR4_SCHPO | Myosin regulatory light chain cdc4 | 0.01 | - | cyt | 0 | Cytoplasm | myosin II [IDA] | 1GGW | 141 | |
| Q17133 UniProt NPD GO | MLE_BRAFL | Myosin, essential light chain (Myosin light chain alkali) | 0.01 | - | cyt | 0 | 149 | ||||
| P07290 UniProt NPD GO | MLE_PATYE | Myosin, essential light chain, adductor muscle (Sulfhydryl light chain) (SHLC) | 0.01 | - | cyt | 0 | 156 | ||||
| P42984 UniProt NPD GO | MNP1_LEPDE | Myotropic neuropeptide 1 (Led-MNP-I) | 0.01 | - | 0 | 7 | |||||
| P82103 UniProt NPD GO | MYNA_MYTGA | Myticin-A precursor | 0.01 | - | mit | 0 | Secreted protein | 96 | |||
| P38680 UniProt NPD GO | MTR_NEUCR | N amino acid transport system protein (Methyltryptophan resistance protein) | 0.01 | - | end | 11 | Membrane; multi-pass membrane protein | 470 | |||
| P30918 UniProt NPD GO | ASPG_PIG | N(4)-(Beta-N-acetylglucosaminyl)-L-asparaginase (EC 3.5.1.26) (Glycosylasparaginase) (Aspartylglucos ... | 0.01 | - | cyt | 0 | Lysosome | 34 | |||
| P30919 UniProt NPD GO | ASPG_RAT | N(4)-(Beta-N-acetylglucosaminyl)-L-asparaginase precursor (EC 3.5.1.26) (Glycosylasparaginase) (Aspa ... | 0.01 | - | end | 0 | Lysosome | 345 | |||
| P83451 UniProt NPD GO | ASPG_ASOTA | N(4)-(beta-N-acetylglucosaminyl)-L-asparaginase (EC 3.5.1.26) (Glycosylasparaginase) (Aspartylglucos ... | 0.01 | - | cyt | 1 * | Secreted protein | 40 | |||
| Q4R6C4 UniProt NPD GO | ASPG_MACFA | N(4)-(beta-N-acetylglucosaminyl)-L-asparaginase precursor (EC 3.5.1.26) (Glycosylasparaginase) (Aspa ... | 0.01 | - | exc | 0 | Lysosome (By similarity) | 346 | |||
| P00721 UniProt NPD GO | LYS_CHASP | N,O-diacetylmuramidase (EC 3.2.1.-) (Lysozyme CH) | 0.01 | - | cyt | 0 | Secreted protein; extracellular space | 211 | |||
| P43073 UniProt NPD GO | TRPF_CANAL | N-(5'-phosphoribosyl)anthranilate isomerase (EC 5.3.1.24) (PRAI) | 0.01 | - | mit | 0 | 225 | ||||
| Q5XQP9 UniProt NPD GO | TRPF_SACKU | N-(5'-phosphoribosyl)anthranilate isomerase (EC 5.3.1.24) (PRAI) | 0.01 | - | mit | 0 | 226 | ||||
| P36230 UniProt NPD GO | LECA_IRIHO | N-acetyl-D-galactosamine-binding lectin subunit A (EC 3.2.2.22) (A-disaccharide-binding lectin subun ... | 0.01 | - | cyt | 0 | 28 | ||||
| P36231 UniProt NPD GO | LECB_IRIHO | N-acetyl-D-galactosamine-binding lectin subunit B (A-disaccharide-binding lectin subunit B) (Fragmen ... | 0.01 | - | 0 | 20 | |||||
| O18921 UniProt NPD GO | RENBP_CANFA | N-acylglucosamine 2-epimerase (EC 5.1.3.8) (GlcNAc 2-epimerase) (N-acetyl-D-glucosamine 2-epimerase) ... | 0.01 | - | cyt | 0 | 35 | ||||
| Q03920 UniProt NPD GO | MTQ2_YEAST | N5-glutamine methyltransferase MTQ2 (EC 2.1.1.-) | 0.01 | - | nuc | 0 | Cytoplasm. Nucleus | cytoplasm [IDA] nucleus [IDA] | 221 | ||
| O74237 UniProt NPD GO | XYL1_CANTE | NAD(P)H-dependent D-xylose reductase (EC 1.1.1.-) (XR) | 0.01 | - | cyt | 0 | 1Z9A | 322 | |||
| P31867 UniProt NPD GO | XYL1_PICST | NAD(P)H-dependent D-xylose reductase (EC 1.1.1.-) (XR) | 0.01 | - | cyt | 0 | 318 | ||||
| Q31792 UniProt NPD GO | NU3C_ANTFO | NAD(P)H-quinone oxidoreductase chain 3, chloroplast (EC 1.6.5.-) (NAD(P)H dehydrogenase, chain 3) (N ... | 0.01 | - | end | 3 * | Plastid; chloroplast | 120 | |||
| P06259 UniProt NPD GO | NU3C_MARPO | NAD(P)H-quinone oxidoreductase chain 3, chloroplast (EC 1.6.5.-) (NAD(P)H dehydrogenase, chain 3) (N ... | 0.01 | - | end | 3 * | Plastid; chloroplast | 120 | |||
| Q32905 UniProt NPD GO | NU5C_PEA | NAD(P)H-quinone oxidoreductase chain 5, chloroplast (EC 1.6.5.-) (NAD(P)H dehydrogenase, chain 5) (N ... | 0.01 | - | end | 3 * | Plastid; chloroplast; chloroplast membrane; multi-pass membrane protein | 124 |
You are viewing entries 89651 to 89700 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.) |