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Selection and flexible optimization of binding modes from conformation ensembles

机译:从构象集合中选择和灵活优化结合模式

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This paper describes a new semi-flexible docking approach named Fado (flexible alignment and docking), which incorporates flexibility by using an ensemble of precomputed ligand conformers. A primary ligand is defined as a linear combination over all input conformers. An optimization with regard to the linear coefficients makes the ligand flexible. Initially, a point matching problem utilizing the Merck Molecular Force Field (MMFF) is modeled in order to compute the correct orientation of the ligand with respect to the target. The problem is then solved through a local optimization approach (RPROP). This is done for 20 randomized ligand orientations, yielding 20 binding modes per complex. Evaluating these modes illustrates that our method is able to reproduce the binding modes of molecules within a few minutes of CPU time. A representative dataset of diverse protein–ligand complexes could be reproduced with 78% accuracy below 2 RMSD distance to the reference crystal structure. Fado is available upon request to the authors.
机译:本文介绍了一种称为Fado的新的半柔性对接方法(柔性对齐和对接),该方法通过使用一组预先计算的配体构象异构体整合了灵活性。主要配体定义为所有输入构象异构体上的线性组合。关于线性系数的优化使配体具有柔性。最初,对利用默克分子力场(MMFF)的点匹配问题进行建模,以计算配体相对于靶标的正确取向。然后通过局部优化方法(RPROP)解决该问题。对20个随机的配体方向进行此操作,每个复合物产生20个结合模式。评估这些模式说明我们的方法能够在几分钟的CPU时间内重现分子的结合模式。在距参考晶体结构2 RMSD距离以下,可以以78%的精度复制各种蛋白质-配体复合物的代表性数据集。 Fado可应要求提供给作者。

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