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首页> 外文期刊>Journal of Medicinal Chemistry >Sequence-Derived Three-Dimensional Pharmacophore Models for G-Protein-Coupled Receptors and Their Application in Virtual Screening
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Sequence-Derived Three-Dimensional Pharmacophore Models for G-Protein-Coupled Receptors and Their Application in Virtual Screening

机译:G-蛋白偶联受体的序列衍生三维药效团模型及其在虚拟筛选中的应用

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G-protein-coupled receptors (GPCRs) comprise a large protein family of significant past and current interest of pharmaceutical research. X-ray crystallography and molecular modeling combined with site-directed mutagenesis studies suggest that most family A GPCRs share a small-molecule binding site located in the outer part of the seven-transmembrane (7TM) bundle. Here we describe an automated method to derive sequence-derived three-dimensional (3D) pharmacophore models capturing the key elements for addressing this binding site by a small-molecule ligand. We have generated structure-based pharmacophore models from 10 homology models and 3 X-ray structures of receptor-ligand complexes. These 13 pharmacophores have been dissected into 35 different single-feature pharmacophore elements, each associated with a sequence motif or chemoprint, describing its molecular interaction partner(s) in the receptor. Subsequently, the protein sequences of 270 GPCRs have been searched for the presence of chemoprints and the appropriate single-feature pharmacophores have been assembled into three- to seven-feature 3D-pharmacophore models for each human family A GPCR. These models can be applied for virtual screening and for the design of subfamily directed libraries. A case study demonstrates the successful application of this approach for the identification of potent agonists for the complement component 3a receptor 1 (C3AR1) by virtual screening.
机译:G蛋白偶联受体(GPCR)包含了一个大的蛋白家族,对药物研究具有重要的过去和现在的意义。 X射线晶体学和分子建模与定点诱变研究相结合,表明大多数A类GPCR共有一个位于七跨膜(7TM)束外部的小分子结合位点。在这里,我们描述了一种自动方法,该方法可导出序列衍生的三维(3D)药效团模型,该模型捕获了用于通过小分子配体解决该结合位点的关键元件。我们从10个同源模型和3个X射线结构的受体-配体复合物生成了基于结构的药效团模型。这13个药效基团已被分解为35种不同的单功能药效基团元素,每个元素均与序列基序或化学印记相关,描述了其在受体中的分子相互作用伴侣。随后,已经搜索了270个GPCR的蛋白质序列,寻找化学印记的存在,并且针对每个人类A A GPCR,将适当的单功能药效基团组装为三至七功能的3D药效基团模型。这些模型可用于虚拟筛选和亚家族指导的图书馆的设计。案例研究表明,该方法已成功应用于通过虚拟筛选鉴定补体成分3a受体1(C3AR1)的有效激动剂。

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