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| Content Provider | Springer Nature Link |
|---|---|
| Author | Suryanarayanan, Venkatesan Sudha, Arumugam Rajamanikandan, Sundararaj Vanajothi, Ramar Srinivasan, Pappu |
| Copyright Year | 2012 |
| Abstract | Sodium-dependent glucose cotransporter 2 (SGLT2) have emerged as a novel drug target for hyperglycemia, a major complication of type 2 diabetes, with a multitude of therapeutic potential for their inhibitors. A series of N-β-d-xylosylindole derivatives has been reported as SGLT2 inhibitors. Therefore, to determine the structural requisite of these SGLT2 inhibitors, 3D pharmacophore models and atom-based 3D QSAR models have been developed using the PHASE module of Schrödinger. The best six-featured pharmacophore hypothesis with two hydrogen bond acceptors, two hydrogen bond donors, one hydrophobic features, and one aromatic ring yielded a 3D QSAR model. The derived model have significant PLS values as R 2 = 0.9527, correlation coefficient of training set, and Q 2 = 0.9045, correlation coefficient of test set, indicating the model have good predictive power. The results provide detailed insights of N-β-d-xylosylindole derivatives which can afford guidance for rational drug design of novel potent SGLT2 inhibitors. |
| Starting Page | 615 |
| Ending Page | 624 |
| Page Count | 10 |
| File Format | |
| ISSN | 10542523 |
| Journal | Medicinal Chemistry Research |
| Volume Number | 22 |
| Issue Number | 2 |
| e-ISSN | 15548120 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-04-21 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | SGLT2 N-β-d-Xylosylindole derivatives Type 2 diabetes 3D QSAR PHASE Pharmacology/Toxicology Biochemistry Cell Biology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Organic Chemistry Pharmacology, Toxicology and Pharmaceutics |
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