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Systematic and efficient side chain optimization for molecular docking using a cheapest-path procedure

机译:使用最便宜的程序对分子对接进行系统有效的侧链优化

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摘要

Molecular docking of small-molecules is an important procedure for computer-aided drug design. Modeling receptor side chain flexibility is often important or even crucial, as it allows the receptor to adopt new conformations as induced by ligand binding. However, the accurate and efficient incorporation of receptor side chain flexibility has proven to be a challenge due to the huge computational complexity required to adequately address this problem. Here we describe a new docking approach with a very fast, graph-based optimization algorithm for assignment of the near-optimal set of residue rotamers. We extensively validate our approach using the 40 DUD target benchmarks commonly used to assess virtual screening performance and demonstrate a large improvement using the developed side chain optimization over rigid receptor docking (average ROC AUC of 0.693 vs. 0.623). Compared to numerous benchmarks, the overall performance is better than nearly all other commonly used procedures. Furthermore, we provide a detailed analysis of the level of receptor flexibility observed in docking results for different classes of residues and elucidate potential avenues for further improvement.
机译:小分子的分子对接是计算机辅助药物设计的重要过程。建模受体侧链的柔性通常很重要,甚至至关重要,因为它允许受体采用由配体结合诱导的新构象。然而,由于充分解决这个问题所需的巨大的计算复杂性,已证明受体侧链柔性的准确有效结合是一个挑战。在这里,我们描述了一种新的对接方法,该方法具有非常快速的基于图的优化算法,用于分配残差旋转异构体的最佳集合。我们使用通常用于评估虚拟筛选性能的40个DUD目标基准广泛验证了我们的方法,并使用已开发的侧链优化方法对刚性受体对接进行了大幅度改进(平均ROC AUC为0.693对0.623)。与众多基准测试相比,总体性能要好于几乎所有其他常用程序。此外,我们提供了对接结果中观察到的受体柔性水平的详细分析,这些结果针对不同类别的残基,并阐明了进一步改进的潜在途径。

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