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首页> 外文期刊>Journal of chemical information and modeling >Flexible Docking of Ligands into Synthetic Receptors Using a Two-Sided Incremental Construction Algorithm
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Flexible Docking of Ligands into Synthetic Receptors Using a Two-Sided Incremental Construction Algorithm

机译:使用双向增量构造算法将配体灵活对接至合成受体

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摘要

We present a new algorithm for the fast and reliable structure prediction of synthetic receptor-ligand complexes.Our method is based on the protein-ligand docking program FlexX and extends our recently introduced docking technique for synthetic receptors,which has been implemented in the program FlexR.To handle the flexibility of the relevant molecules,we apply a novel docking strategy that uses an adaptive two-sided incremental construction algorithm which incorporates the structural flexibility of both the ligand and synthetic receptor.We follow an adaptive strategy,in which one molecule is expanded by attaching its next fragment in all possible torsion angles,whereas the other (partially assembled) molecule serves as a rigid binding partner.Then the roles of the molecules are exchanged.Geometric filters are used to discard partial conformations that cannot realize a targeted interaction pattern derived in a graph-based precomputation phase.The process is repeated until the entire complex is built up.Our algorithm produces promising results on a test data set comprising 10 complexes of synthetic receptors and ligands.The method generated near-native solutions compared to crystal structures in all but one case.It is able to generate solutions within a couple of minutes and has the potential of being used as a virtual screening tool for searching for suitable guest molecules for a given synthetic receptor in large databases of guests and vice versa.
机译:我们提出了一种新的算法来快速可靠地预测合成受体-配体复合物。我们的方法基于蛋白质-配体对接程序FlexX,并扩展了我们最近引入的合成受体对接技术,该技术已在FlexR程序中实现为了处理相关分子的灵活性,我们应用了一种新颖的对接策略,该策略使用了自适应的两面增量构建算法,该算法结合了配体和合成受体的结构灵活性。我们遵循一种自适应策略,其中一个分子是通过将其下一个片段以所有可能的扭转角连接而扩展,而另一个(部分组装的)分子充当刚性结合伴侣。然后交换分子的作用。几何过滤器用于丢弃无法实现目标相互作用的部分构象在基于图形的预计算阶段得出的模式。重复此过程,直到整个过程建立了多重复合体,我们的算法在包含10个合成受体和配体复合物的测试数据集上产生了可喜的结果,除一种情况外,该方法与晶体结构相比可生成近本征溶液,可在几对内生成溶液数分钟之内,并有可能用作虚拟筛选工具,以在大型来宾数据库中搜索给定合成受体的合适来宾分子,反之亦然。

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