Department of Pharmaceutical Chemistry, K. B. Institute of Pharmaceutical Education and Research, Gandhinagar, Gujarat, India.
Department of Pharmaceutical Chemistry, L. J. Institute of Pharmacy, L. J. University, Ahmedabad, Gujarat, India.
J Biomol Struct Dyn. 2022;40(24):13778-13798. doi: 10.1080/07391102.2021.1994876. Epub 2021 Nov 5.
Diabetes is one of the leading causes of death globally as per World Health Organization 2019. To cope up with side effects of current diabetes therapy, researchers have found several novel targets for the treatment of diabetes. Currently, dipeptidyl peptidase IV (DPP IV) has emerged as a target in modulating the diabetes physiology. In the present work, various 3D-Quantitative structure activity relationship (QSAR) techniques namely comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, topomer CoMFA and molecular hologram QSAR are used to explore the structural requirements of triazole derivatives as DPP IV inhibitors. Different models generated by 3D QSAR studies had acceptable statistical values for further prediction of molecules. From the contour maps of QSAR results, important structural features are deduced. Substitutions on N and N of triazole ring with H-bond donor group enhances the biological activity. Aliphatic side chain, less bulky group, H-bond donor group and -COOH group on N of triazole ring are vital for the DPP IV inhibition. Moreover, electron withdrawing side chain on the triazole ring improves the biological activity. Further, novel triazole derivatives were designed and docking results of these compounds proved the efficiency of the developed 3D QSAR model. In future, results of this study may provide promising DPP IV inhibitors for the treatment of diabetes. Communicated by Ramaswamy H. Sarma.
根据世界卫生组织 2019 年的数据,糖尿病是全球主要死亡原因之一。为了应对当前糖尿病治疗的副作用,研究人员已经发现了几种治疗糖尿病的新靶点。目前,二肽基肽酶 IV(DPP IV)已成为调节糖尿病生理学的靶点。在本工作中,使用了各种 3D-定量构效关系(QSAR)技术,如比较分子场分析(CoMFA)、比较分子相似性指数分析、拓扑 CoMFA 和分子全息 QSAR,以探索三唑衍生物作为 DPP IV 抑制剂的结构要求。3D QSAR 研究生成的不同模型具有可接受的统计值,可进一步预测分子。从 QSAR 结果的等高线图中推导出重要的结构特征。三唑环上 N 和 N 的取代基与氢键供体基团的取代增强了生物活性。三唑环上的脂肪侧链、较小的体积基团、氢键供体基团和 -COOH 基团对 DPP IV 抑制至关重要。此外,三唑环上的吸电子侧链提高了生物活性。进一步设计了新型三唑衍生物,并对这些化合物进行了对接,证明了所开发的 3D QSAR 模型的有效性。未来,这项研究的结果可能为治疗糖尿病提供有前途的 DPP IV 抑制剂。由 Ramaswamy H. Sarma 交流。