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LITiCon:一种用于描绘跨膜螺旋蛋白各种功能选择性构象状态的离散构象采样计算方法。

LITiCon: a discrete conformational sampling computational method for mapping various functionally selective conformational states of transmembrane helical proteins.

作者信息

Bhattacharya Supriyo, Vaidehi Nagarajan

机构信息

Division of Immunology, Beckman Research Institute of the City of Hope, Duarte, CA, USA.

出版信息

Methods Mol Biol. 2012;914:167-78. doi: 10.1007/978-1-62703-023-6_10.

DOI:10.1007/978-1-62703-023-6_10
PMID:22976028
Abstract

G-Protein-coupled receptors (GPCRs) are seven helical transmembrane proteins that mediate cell signaling thereby controlling many important physiological and pathological functions. GPCRs get activated upon ligand binding and trigger the signal transduction process. GPCRs exist in multiple inactive and active conformations, and there is a finite population of the active and inactive states even in the ligand-free condition. An understanding of the nature of the conformational ensemble sampled by GPCRs and the atomic level mechanism of the conformational transitions require a combination of computational methods and experimental techniques. We have developed a coarse grained discrete conformational sampling computational method called "LITiCon" to map the conformational ensemble sampled by GPCRs in the presence and absence of ligands. The LITiCon method can also be used to predict functional selective conformational states starting from the inactive state of the receptor. LITiCon has been applied to map the conformational ensemble of β2-adrenergic receptor, a class A GPCR. We have shown that β2-adrenergic receptor samples a larger conformational space in the ligand-free state and that different ligands select and stabilize conformations from this ensemble. In this review we describe the LITiCon method in detail and elucidate the uses and pitfalls of this method.

摘要

G蛋白偶联受体(GPCRs)是七螺旋跨膜蛋白,介导细胞信号传导,从而控制许多重要的生理和病理功能。GPCRs在配体结合后被激活并触发信号转导过程。GPCRs以多种无活性和活性构象存在,即使在无配体条件下,活性和无活性状态也存在有限的群体。了解GPCRs采样的构象集合的性质以及构象转变的原子水平机制需要结合计算方法和实验技术。我们开发了一种称为“LITiCon”的粗粒度离散构象采样计算方法,以绘制有配体和无配体情况下GPCRs采样的构象集合。LITiCon方法还可用于从受体的无活性状态预测功能选择性构象状态。LITiCon已应用于绘制A类GPCRβ2肾上腺素能受体的构象集合。我们已经表明,β2肾上腺素能受体在无配体状态下采样更大的构象空间,并且不同的配体从该集合中选择并稳定构象。在这篇综述中,我们详细描述了LITiCon方法,并阐明了该方法的用途和缺陷。

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Machine Learning for Prioritization of Thermostabilizing Mutations for G-Protein Coupled Receptors.基于机器学习的 G 蛋白偶联受体热稳定性突变优先级排序。
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Prediction of Conformation Specific Thermostabilizing Mutations for Class A G Protein-Coupled Receptors.
预测 A 类 G 蛋白偶联受体构象特异性热稳定突变。
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Improving virtual screening of G protein-coupled receptors via ligand-directed modeling.通过配体导向建模改进G蛋白偶联受体的虚拟筛选
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Rapid Computational Prediction of Thermostabilizing Mutations for G Protein-Coupled Receptors.G蛋白偶联受体热稳定突变的快速计算预测
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