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基于结构的四个腺苷受体的有效和选择性配体的设计。

Structure-Based Design of Potent and Selective Ligands at the Four Adenosine Receptors.

机构信息

Department of Cell and Molecular Biology, Uppsala University, Biomedical Centre (BMC), BOX 596, SE-751 24 Uppsala, Sweden.

Centro Singular Investigación Quimica Biologica e Materiales Moleculares (CIQUS), Departamento de Quimica Orgánica, Facultade de Farmacia, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

出版信息

Molecules. 2017 Nov 10;22(11):1945. doi: 10.3390/molecules22111945.

Abstract

The four receptors that signal for adenosine, A₁, A, A and A₃ ARs, belong to the superfamily of G protein-coupled receptors (GPCRs). They mediate a number of (patho)physiological functions and have attracted the interest of the biopharmaceutical sector for decades as potential drug targets. The many crystal structures of the A, and lately the A₁ ARs, allow for the use of advanced computational, structure-based ligand design methodologies. Over the last decade, we have assessed the efficient synthesis of novel ligands specifically addressed to each of the four ARs. We herein review and update the results of this program with particular focus on molecular dynamics (MD) and free energy perturbation (FEP) protocols. The first in silico mutagenesis on the A₁AR here reported allows understanding the specificity and high affinity of the xanthine-antagonist 8-Cyclopentyl-1,3-dipropylxanthine (DPCPX). On the AAR, we demonstrate how FEP simulations can distinguish the conformational selectivity of a recent series of partial agonists. These novel results are complemented with the revision of the first series of enantiospecific antagonists on the AAR, and the use of FEP as a tool for bioisosteric design on the A₃AR.

摘要

四种信号腺苷的受体,A₁、A、A 和 A₃ ARs,属于 G 蛋白偶联受体 (GPCR) 的超家族。它们介导许多(病理)生理功能,并吸引了生物制药行业数十年来的兴趣,作为潜在的药物靶点。A 和最近的 A₁ AR 的许多晶体结构允许使用先进的基于计算的、基于结构的配体设计方法。在过去的十年中,我们评估了专门针对这四种 AR 中的每一种的新型配体的有效合成。我们在此回顾和更新该计划的结果,特别关注分子动力学 (MD) 和自由能微扰 (FEP) 协议。在此报告的对 A₁AR 的首次计算机诱变允许理解黄嘌呤拮抗剂 8-环戊基-1,3-二丙基黄嘌呤 (DPCPX) 的特异性和高亲和力。在 AAR 上,我们展示了 FEP 模拟如何区分最近一系列部分激动剂的构象选择性。这些新结果补充了对 AAR 上第一批对映体特异性拮抗剂的修订,以及将 FEP 用作 A₃AR 上生物等排设计的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d5/6150288/1e038618c194/molecules-22-01945-g001.jpg

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