Gachon Institute of Pharmaceutical Science and Department of Pharmacy, College of Pharmacy, Gachon University, Incheon, Republic of Korea.
J Cell Biochem. 2020 Jul;121(7):3570-3583. doi: 10.1002/jcb.29640. Epub 2020 Jan 6.
In recent years, pharmacophore modeling and molecular docking approaches have been extensively used to characterize the structural requirements and explore the conformational space of a ligand in the binding pocket of the selected target protein. Herein, we report a pharmacophore modeling and molecular docking of 45 compounds comprising of the indole scaffold as vitamin D receptor (VDR) inhibitors. Based on the selected best hypothesis (DRRRR.61), an atom-based three-dimensional quantitative structure-activity relationships model was developed to rationalize the structural requirement of biological activity modulating components. The developed model predicted the binding affinity for the training set and test set with R = 0.8869 and R = 0.8139, respectively. Furthermore, molecular docking and dynamics simulation were performed to understand the underpinning of binding interaction and stability of selected VDR inhibitors in the binding pocket. In conclusion, the results presented here, in the form of functional and structural data, agreed well with the proposed pharmacophores and provide further insights into the development of novel VDR inhibitors with better activity.
近年来,药效团模型和分子对接方法已被广泛用于描述配体在选定靶蛋白结合口袋中的结构要求和探索构象空间。在此,我们报告了一个包含吲哚支架的 45 个化合物作为维生素 D 受体 (VDR) 抑制剂的药效团模型和分子对接。基于所选的最佳假设 (DRRRR.61),开发了基于原子的三维定量构效关系模型,以合理化生物活性调节成分的结构要求。所开发的模型分别对训练集和测试集的结合亲和力进行了预测,R 分别为 0.8869 和 0.8139。此外,还进行了分子对接和动力学模拟,以了解所选 VDR 抑制剂在结合口袋中的结合相互作用和稳定性的基础。总之,这里以功能和结构数据的形式呈现的结果与提出的药效团很好地吻合,并为开发具有更好活性的新型 VDR 抑制剂提供了进一步的见解。