Vijjulatha Manga, Lingala Yamini, Merugu RaviRaja Tejaswi
Molecular Modeling and Medicinal Chemistry Group, Dept. of Chemistry, University College of Science, Osmania University, Hyderabad, 500-007, India,
J Mol Model. 2014 Jul;20(7):2348. doi: 10.1007/s00894-014-2348-8. Epub 2014 Jun 29.
To obtain a scientific thought and expedition to explore key interactions with Tyr48 in aldose reductase (ALR), combined study of pharmacophore modeling, induced fit docking, and dynamics studies were performed on ALR. A stereo chemically and energetically valid model of ALR-NADP+ complex was developed using homology modeling technique. Statistically a significant five point pharmacophore model was designed on a set of 54 thiazolidinedione derivatives with good external and internal predictive ability. Rigid and induced fit docking protocols were applied on ALR protein for both with and without NADP+ cofactor to identify a suitable binding mode that facilitates the key hydrogen bond interactions with Tyr48. Docking of thiazolidinedione derivatives into ALR-NADP+ complex gave more promising results by reducing false positive binding of inhibitors into the co-factor binding site. Structural changes within Try48 and Asp43 during the binding process in enzyme inhibitor complex were analyzed using molecular dynamics (MD) simulations. The results obtained from dynamic simulations emphasized the role of Tyr48 in maintaining inter or intra molecular hydrogen bond interaction with the protein or inhibitor respectively. New molecules were designed and checked for their binding interactions and showed improved results compared to existing thiazolidinediones derivatives. Hence, these combined protocols will be helpful and cooperative to design and optimize molecules with better inhibitory activity against the biologically active target.
为了获得一种科学思路并探索与醛糖还原酶(ALR)中Tyr48的关键相互作用,对ALR进行了药效团建模、诱导契合对接和动力学研究的联合研究。使用同源建模技术构建了ALR-NADP+复合物的立体化学和能量有效的模型。在一组具有良好外部和内部预测能力的54种噻唑烷二酮衍生物上设计了一个具有统计学意义的五点药效团模型。对有无NADP+辅因子的ALR蛋白应用刚性和诱导契合对接协议,以确定一种合适的结合模式,促进与Tyr48的关键氢键相互作用。将噻唑烷二酮衍生物对接至ALR-NADP+复合物中,通过减少抑制剂在辅因子结合位点的假阳性结合,得到了更有前景的结果。使用分子动力学(MD)模拟分析了酶抑制剂复合物结合过程中Try48和Asp43内的结构变化。动态模拟获得的结果强调了Tyr48分别在维持与蛋白质或抑制剂的分子间或分子内氢键相互作用中的作用。设计了新分子并检查了它们的结合相互作用,与现有的噻唑烷二酮衍生物相比显示出改进的结果。因此,这些联合协议将有助于并协同设计和优化对生物活性靶点具有更好抑制活性的分子。