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Construction of a three-dimensional pharmacophore for Bcl-2 inhibitors by flexible docking and the multiple copy simultaneous search method

机译:柔性对接和多拷贝同时搜索方法构建Bcl-2抑制剂三维药效团

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B-Cell lymphoma-2 (Bcl-2) protein is a new promising target for anticancer drugs. A number of anticancer Bcl-2 inhibitors with diverse chemical structures have been discovered in recent years. In this paper, the flexible docking was performed to determine the binding modes of the representative inhibitors from different structural types. Subsequently, the binding modes of inhibitor were used to construct a primary three- dimensional (3D) pharmacophore model. It proved that this model can effectively disrupt the binding of the BH3 domain of proapoptotic Bcl-2 family members to Bcl-2, and match the structural requirement of a new type of Bcl-2 inhibitors. However, these distances between pharmacophoric points are not optimal due to the fact that not all of individual functional groups are located in the ideal position when inhibitors bind to its receptor. In this paper, we proposed a new idea to improve the quality of the pharmacophore model: the multiple copy simultaneous search (MCSS) method was performed to determine the energetically favorable distribution of functional groups with similar features to these pharmacophoric points in the active site of Bcl-2 first. Then their most energetically favorable minima in the positions near the pharmacophoric points were used to optimize the distances between pharmacophoric points. By examining the binding modes of several inhibitors from the same structural type, it was found that the more potent the inhibitor was, the closer it was to the optimized distances between pharmacophoric points. The optimized 3D pharmacophore model obtained in this paper may provide a good starting point for further rational design of Bcl-2 inhibitors.
机译:B细胞淋巴瘤2(Bcl-2)蛋白是抗癌药物的新靶标。近年来发现了许多具有不同化学结构的抗癌Bcl-2抑制剂。在本文中,进行了柔性对接以确定来自不同结构类型的代表性抑制剂的结合模式。随后,抑制剂的结合模式用于构建主要的三维(3D)药效团模型。证明该模型可以有效破坏促凋亡的Bcl-2家族成员的BH3结构域与Bcl-2的结合,并符合新型Bcl-2抑制剂的结构要求。然而,由于当抑制剂与其受体结合时并不是所有的单个官能团都位于理想位置这一事实,药效基点之间的距离并不是最佳的。在本文中,我们提出了一种提高药效基团模型质量的新思路:进行了多拷贝同时搜索(MCSS)方法来确定功能基团在能量上有利的分布,这些功能基团的特征与这些药效基团在活性部位的相似。首先是Bcl-2。然后,在药效学点附近的位置上,它们在能量上最有利的最小值用于优化药理学点之间的距离。通过检查相同结构类型的几种抑制剂的结合模式,发现抑制剂越有效,它与药效基点之间的最佳距离越近。本文获得的优化的3D药效团模型可以为进一步合理设计Bcl-2抑制剂提供良好的起点。

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