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How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs

机译:如何进行GPCR的分子动力学数据补体静态结构数据

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摘要

G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex with various signaling partners. However, GPCR functionality is largely determined by their flexibility and ability to transition between distinct structural conformations. Due to this dynamic nature, a static snapshot does not fully explain the complexity of GPCR signal transduction. Molecular dynamics (MD) simulations offer the opportunity to simulate the structural motions of biological processes at atomic resolution. Thus, this technique can incorporate the missing information on protein flexibility into experimentally solved structures. Here, we review the contribution of MD simulations to complement static structural data and to improve our understanding of GPCR physiology and pharmacology, as well as the challenges that still need to be overcome to reach the full potential of this technique.
机译:G蛋白偶联受体(GPCR)与人体中的几乎每个生理过程都涉及,因此代表着一个重要的药物靶向类。 X射线晶体学和冷冻电子显微镜(Cryo-EM)的进步已经提供了与各种信号合作伙伴复合物的GPCR的多种静态结构。然而,GPCR功能主要由它们的灵活性和能力在不同的结构构象之间转换。由于这种动态性质,静态快照没有完全解释GPCR信号转导的复杂性。分子动力学(MD)模拟提供了模拟原子分辨率的生物过程结构运动的机会。因此,该技术可以将缺失的蛋白质柔性信息纳入实验溶解的结构。在这里,我们审查了MD模拟对补充静态结构数据的贡献,并提高了我们对GPCR生理学和药理学的理解,以及仍需要克服的挑战以达到这种技术的全部潜力。

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