Vyas Bhawna, Singh Manjinder, Kaur Maninder, Bahia Malkeet Singh, Jaggi Amteshwar Singh, Silakari Om, Singh Baldev
Department of Chemistry, Punjabi University, Patiala 147002, Punjab, India.
Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala 147002, Punjab, India.
J Mol Graph Model. 2015 Jun;59:59-71. doi: 10.1016/j.jmgm.2015.03.005. Epub 2015 Apr 3.
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., Rtrain(2), 0.96; Qtest(2) 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<22μM) activity of all molecules. Thus, the newly designed molecules having ALR inhibitory potential could be employed for the management of diabetic complications.
在此,使用醛糖还原酶(ALR2)的46种黄酮类抑制剂的受体导向比对进行了基于原子的3D-QSAR分析。在PHASE程序中生成了3D-QSAR模型,并根据不同的统计参数(即Rtrain(2),0.96;Qtest(2),0.81;SD,0.26)选择了与偏最小二乘因子4(QSAR4)对应的最佳模型。从所选模型生成的不同结构性质的等高线图用于设计五个新的同系物分子。这些设计的分子经过适当合成,并对其体外ALR2抑制活性进行了评估,结果所有分子均具有微摩尔级(IC50<22μM)活性。因此,新设计的具有ALR抑制潜力的分子可用于糖尿病并发症的治疗。