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E-mail: biomed@csu.edu.cn
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AKT3 is one of 3 closely related serine/threonine-protein kinases (AKT1, AKT2 and AKT3) called the AKT kinase, and which regulate many processes including metabolism, proliferation, cell survival, growth and angiogenesis. This is mediated through serine and/or threonine phosphorylation of a range of downstream substrates. Over 100 substrate candidates have been reported so far, but for most of them, no isoform specificity has been reported. AKT3 is the least studied AKT isoform. It plays an important role in brain development and is crucial for the viability of malignant glioma cells. AKT3 isoform may also be the key molecule in up-regulation and down-regulation of MMP13 via IL13. Required for the coordination of mitochondrial biogenesis with growth factor-induced increases in cellular energy demands. Down-regulation by RNA interference reduces the expression of the phosphorylated form of BAD, resulting in the induction of caspase-dependent apoptosis.
| Uniprot primary ID | Q9Y243 |
| PDB ID | 2X18 |
| DrugBank ID | |
| BioGrid ID | 115318 |
| GuidetoPHARMACOLOGY ID | 2286 |
| PharmGKB ID | PA24686 |
| KEGG ID | hsa:10000 |
| DIP ID | DIP-32584N |
| STRING ID | 9606.ENSP00000263826 |
| IntAct ID | Q9Y243 |
| DMDM | 12643943 |
| BRENDA | 2.7.11.1 |
| Reactome | R-HSA-111447 R-HSA-1358803 R-HSA-1257604 R-HSA-114604 R-HSA-198323 R-HSA-389513 R-HSA-199418 R-HSA-392451 R-HSA-5674400 R-HSA-198693 R-HSA-389357 R-HSA-5218920 R-HSA-5628897 R-HSA-211163 |
| SignaLink | Q9Y243 |
| BioCyc | |
| Entrez Gene (Gene ID) | 10000 |
| BindingDB | Q9Y243 |
| Fingerprint type | Sensitivity | SEN_std | Specificity | SPE_std | Accuracy | ACC_std | F1-score | F1-score_std | AUC | AUC_std | MCC | MCC_std | Download model |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FP2 fingerprints | 0.894 | 0.005 | 0.944 | 0.004 | 0.919 | 0.003 | 0.915 | 0.005 | 0.958 | 0.004 | 0.836 | 0.007 | Download |
| Estate fingerprints | 0.835 | 0.008 | 0.799 | 0.008 | 0.817 | 0.007 | 0.820 | 0.007 | 0.910 | 0.000 | 0.634 | 0.014 | Download |
| MACCS fingerprints | 0.919 | 0.006 | 0.773 | 0.009 | 0.846 | 0.005 | 0.856 | 0.005 | 0.936 | 0.005 | 0.706 | 0.005 | Download |
| Daylight fingerprints | 0.885 | 0.005 | 0.861 | 0.008 | 0.873 | 0.008 | 0.875 | 0.005 | 0.929 | 0.003 | 0.744 | 0.013 | Download |
| ECFP2 fingerprints | 0.906 | 0.005 | 0.936 | 0.007 | 0.921 | 0.003 | 0.919 | 0.003 | 0.970 | 0.000 | 0.842 | 0.006 | Download |
| ECFP4 fingerprints | 0.894 | 0.007 | 0.982 | 0.005 | 0.938 | 0.004 | 0.932 | 0.006 | 0.970 | 0.000 | 0.874 | 0.007 | Download |
| ECFP6 fingerprints | 0.897 | 0.007 | 0.999 | 0.000 | 0.948 | 0.004 | 0.940 | 0.005 | 0.962 | 0.004 | 0.897 | 0.007 | Download |
| Positive dataset | Negative dataset |
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E-mail: biomed@csu.edu.cn
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