Abstract
Herein, atom-based 3D-QSAR analysis was performed using receptor-guided alignment of 46 flavonoid inhibitors of aldose reductase (ALR2) enzyme. 3D-QSAR models were generated in PHASE programme, and the best model corresponding to PLS factor four (QSAR4), was selected based on different statistical parameters (i.e., Rtrain2, 0.96; Qtest2 0.81; SD, 0.26). The contour plots of different structural properties generated from the selected model were utilized for the designing of five new congener molecules. These designed molecules were duly synthesized, and evaluated for their in vitro ALR2 inhibitory activity that resulted in the micromolar (IC50 < 22 μM) activity of all molecules. Thus, the newly designed molecules having ALR inhibitory potential could be employed for the management of diabetic complications.
Original language | English |
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Pages (from-to) | 59-71 |
Number of pages | 13 |
Journal | Journal of Molecular Graphics and Modelling |
Volume | 59 |
DOIs | |
State | Published - 1 Jun 2015 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2015 Elsevier Inc. All rights reserved.
Funding
The authors thank Dr. Ravikumar Muttineni (Application Scientist), Er. Anirban Banerjee (IT Consultant), and Mr. Raghu Rangaswamy from Schrödinger, Bangalore, for their constant scientific and technical support to handle Schrödinger software and work smoothly. Bhawna Vyas and Malkeet Singh acknowledges Indian Council of Medical Research (ICMR) , New Delhi, for providing Senior Research Fellowship (SRF); Grant No. 45/15/2011/BIF/BMS and 45/3/2012-BMS/BIF , respectively.
Funders | Funder number |
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Indian Council of Medical Research | 45/3/2012-BMS/BIF, 45/15/2011/BIF/BMS |
Keywords
- Aldose reductase (ALR2)
- Atom-based 3D-QSAR
- Diabetic complications
- Docking analysis
- Flavonoid derivatives