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胺能 G 蛋白偶联受体的同源建模和对接评估。

Homology modeling and docking evaluation of aminergic G protein-coupled receptors.

机构信息

Medicinal Chemistry and Drug Action, Monash Institute of Pharmaceutical Sciences, Monash University Parkville Campus, 381 Royal Parade, Parkville, VIC 3052, Australia.

出版信息

J Chem Inf Model. 2010 Apr 26;50(4):626-37. doi: 10.1021/ci900444q.

Abstract

We report the development of homology models of dopamine (D(2), D(3), and D(4)), serotonin (5-HT(1B), 5-HT(2A), 5-HT(2B), and 5-HT(2C)), histamine (H(1)), and muscarinic (M(1)) receptors, based on the high-resolution structure of the beta(2)-adrenergic receptor. The homology models were built and refined using Prime. We have addressed the required modeling of extracellular loop 2, which is often implicated in ligand binding. The orthosteric sites of the models were optimized using induced fit docking, to allow for side-chain flexibility, and the resulting receptor models have been evaluated using protein validation tools. Of the nine homology models developed, six models showed moderate to good enrichment in virtual screening experiments (5-HT(2A), 5-HT(1B), D(2), 5-HT(2C), D(3), and M(1)). The 5-HT(2A) receptor displayed the highest enrichment in virtual screening experiments with enrichment factors of 6.1, 6.9, and 5.9 at 2, 5, and 10%, respectively, of the screened database. However, three of the models require further refinement (5-HT(2B), D(4), and H(1)), due to difficulties in modeling some of the binding site residues as well as the extracellular loop 2. Our effort also aims to supplement the limited number of tested G protein-coupled receptor homology models based on the beta(2) crystal structure that are freely available to the research community.

摘要

我们报告了多巴胺(D(2)、D(3)和 D(4))、血清素(5-HT(1B)、5-HT(2A)、5-HT(2B)和 5-HT(2C))、组胺(H(1))和毒蕈碱(M(1))受体的同源模型的开发,这些模型基于β2-肾上腺素能受体的高分辨率结构。使用 Prime 构建和优化了同源模型。我们已经解决了需要建模的细胞外环 2 的问题,因为细胞外环 2 通常与配体结合有关。使用诱导契合对接优化了模型的正位结合点,以允许侧链灵活性,并且使用蛋白质验证工具评估了所得受体模型。在所开发的九个同源模型中,有六个模型在虚拟筛选实验中显示出中等至良好的富集(5-HT(2A)、5-HT(1B)、D(2)、5-HT(2C)、D(3)和 M(1))。5-HT(2A)受体在虚拟筛选实验中显示出最高的富集,在筛选数据库的 2%、5%和 10%的情况下,富集因子分别为 6.1、6.9 和 5.9。然而,由于一些结合位点残基以及细胞外环 2 的建模困难,有三个模型需要进一步优化(5-HT(2B)、D(4)和 H(1))。我们的努力还旨在补充基于β2 晶体结构的可自由获取的、数量有限的已测试 G 蛋白偶联受体同源模型,以供研究界使用。

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