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Representing receptor flexibility in ligand docking through relevant normal modes

机译:通过相关正常模式表示配体对接中的受体灵活性

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Inspired by the current representation of the ligand-receptor binding process, a normal-mode-based methodology is presented to incorporate receptor flexibility in ligand docking and virtual screening. However, the systematic representation of the deformation space grows geometrically with the number of modes, and furthermore, midscale loop rearrangements like those found in protein kinase binding pockets cannot be accounted for with the first lowest-frequency modes. We thus introduced a measure of relevance of normal modes on a given region of interest and showed that only very few modes in the low-frequency range are necessary and sufficient to describe loop flexibility in cAMP-dependent protein kinase. We used this approach to generate an ensemble of representative receptor backbone conformations by perturbing the structure along a combination of relevant modes. Each ensemble conformation is complexed with known non-native binders to optimize the position of the binding-pocket side chains through a full flexible docking procedure. The multiple receptor conformations thus obtained are used in a small-scale virtual screening using receptor ensemble docking. We evaluated this algorithm on holo and apo structures of cAMP-dependent protein kinase that exhibit backbone rearrangements on two independent loop regions close to the binding pocket. Docking accuracy is improved, since the ligands considered in the virtual screening docked within 1.5 angstrom to at least one of the structures. The discrimination between binders and nonbinders is also enhanced, as shown by the improvement of the enrichment factor. This constitutes a new step toward the systematic integration of flexible ligand-flexible receptor docking tools in structure-based drug discovery.
机译:受到当前配体-受体结合过程的启发,提出了一种基于正常模式的方法,将受体的灵活性纳入配体对接和虚拟筛选中。但是,变形空间的系统表示会随着模式数量的增加而在几何上增长,此外,像在蛋白激酶结合口袋中发现的那样,中等规模的环路重排不能用第一个最低频率模式来解释。因此,我们介绍了在给定的感兴趣区域上正常模式的相关性的度量,结果表明,在低频范围内,只有极少数模式对于描述cAMP依赖性蛋白激酶中的环柔性是必要和充分的。我们使用这种方法通过沿相关模式的组合扰动结构来生成具有代表性的受体骨架构象的整体。每个集合构象都与已知的非天然结合剂复合,以通过完全灵活的对接过程优化结合口袋侧链的位置。由此获得的多种受体构象用于使用受体整体对接的小规模虚拟筛选中。我们评估了该算法对cAMP依赖性蛋白激酶的整体和载脂蛋白结构的影响,该蛋白激酶在两个靠近结合袋的独立环区域上显示骨架重排。对接精度得到改善,因为在虚拟筛选中考虑的配体对接在至少一个结构的1.5埃之内。如通过富集因子的改善所显示的,结合剂和非结合剂之间的区别也得到增强。这构成了在基于结构的药物发现中系统地整合柔性配体-柔性受体对接工具的新步骤。

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