Alpha-2 adrenergic receptors mediate the catecholamine-induced inhibition of adenylate cyclase through the action of G proteins. The rank order of potency for agonists of this receptor is oxymetazoline > clonidine > epinephrine > norepinephrine > phenylephrine > dopamine > p-synephrine > p-tyramine > serotonin = p-octopamine. For antagonists, the rank order is yohimbine > phentolamine = mianserine > chlorpromazine = spiperone = prazosin > propanolol > alprenolol = pindolol.
| Uniprot primary ID | P08913 |
| PDB ID | 1HOF 1HOD 1HLL 1HO9 |
| DrugBank ID | DB00751 DB06148 DB01142 DB01049 DB04948 DB01624 DB00320 DB00321 DB01149 DB00734 DB06694 DB00935 DB00934 DB00449 DB01238 DB00852 DB06262 DB00408 DB00370 DB01136 DB01403 DB00629 DB01018 DB00182 DB00543 DB00925 DB01151 DB01608 DB01363 DB00413 DB00714 DB00246 |
| BioGrid ID | 106659 |
| GuidetoPHARMACOLOGY ID | 25 |
| PharmGKB ID | PA35 |
| KEGG ID | hsa:150 |
| BioCyc | |
| Entrez Gene (Gene ID) | 150 |
| DIP | |
| STRING | 9606ENSP00000280155 |
| MINT | |
| IntAct | P08913 |
| DMDM | 1351829 |
| BREDNA | |
| Rectome | R-HSA-400042 R-HSA-418594 R-HSA-418597 R-HSA-390696 R-HSA-392023 |
| SignaLink | P08913 |
| BindingDB | P08913 |
| Fingerprint type | F1_CV | AUC_CV | Accuracy_CV | Sensitivity_CV | Specificity_CV | F1_test | AUC_test | Accuracy_test | Sensitivity_test | Specificity_test | Download model |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FP2 fingerprints | 0.678 | 0.804 | 0.721 | 0.588 | 0.854 | 0.713 | 0.840 | 0.743 | 0.645 | 0.840 | Download |
| MACCS fingerprints | 0.720 | 0.789 | 0.711 | 0.751 | 0.671 | 0.739 | 0.826 | 0.727 | 0.771 | 0.682 | Download |
| Daylight fingerprints | 0.692 | 0.775 | 0.721 | 0.629 | 0.813 | 0.727 | 0.778 | 0.728 | 0.730 | 0.727 | Download |
| ECFP2 fingerprints | 0.829 | 0.918 | 0.832 | 0.815 | 0.850 | 0.860 | 0.937 | 0.859 | 0.873 | 0.845 | Download |
| ECFP4 fingerprints | 0.846 | 0.941 | 0.857 | 0.792 | 0.921 | 0.870 | 0.950 | 0.874 | 0.845 | 0.903 | Download |
| ECFP6 fingerprints | 0.809 | 0.920 | 0.831 | 0.717 | 0.944 | 0.836 | 0.942 | 0.851 | 0.766 | 0.934 | Download |
| Positive dataset | Negative dataset |
Copyright @ 2012-2014 Computational Biology & Drug Design Group,
School of Pharmaceutical Sciences, Central South University.
All rights reserved.
The recommended browsers: Safari, Firefox, Chrome,IE(Ver.>8).
E-mail: biomed@csu.edu.cn
 |
 |
 |
 |
 |
 |