Suppr超能文献

神经退行性疾病中的孤儿G蛋白偶联受体:整合结构生物学与药物发现方法

Orphan GPCRs in Neurodegenerative Disorders: Integrating Structural Biology and Drug Discovery Approaches.

作者信息

Kim Jinuk, Choi Chulwon

机构信息

Department of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.

出版信息

Curr Issues Mol Biol. 2024 Oct 19;46(10):11646-11664. doi: 10.3390/cimb46100691.

Abstract

Neurodegenerative disorders, particularly Alzheimer's and Parkinson's diseases, continue to challenge modern medicine despite therapeutic advances. Orphan G-protein-coupled receptors (GPCRs) have emerged as promising targets in the central nervous system, offering new avenues for drug development. This review focuses on the structural biology of orphan GPCRs implicated in these disorders, providing a comprehensive analysis of their molecular architecture and functional mechanisms. We examine recent breakthroughs in structural determination techniques, such as cryo-electron microscopy and X-ray crystallography, which have elucidated the intricate conformations of these receptors. The review highlights how structural insights inform our understanding of orphan GPCR activation, ligand binding and signaling pathways. By integrating structural data with molecular pharmacology, we explore the potential of structure-guided approaches in developing targeted therapeutics toward orphan GPCRs. This structural-biology-centered perspective aims to deepen our comprehension of orphan GPCRs and guide future drug discovery efforts in neurodegenerative disorders.

摘要

尽管在治疗方面取得了进展,但神经退行性疾病,尤其是阿尔茨海默病和帕金森病,仍然是现代医学面临的挑战。孤儿G蛋白偶联受体(GPCRs)已成为中枢神经系统中有前景的靶点,为药物开发提供了新途径。本综述聚焦于与这些疾病相关的孤儿GPCRs的结构生物学,对其分子结构和功能机制进行全面分析。我们研究了结构测定技术的最新突破,如冷冻电子显微镜和X射线晶体学,这些技术已阐明了这些受体的复杂构象。该综述强调了结构见解如何增进我们对孤儿GPCR激活、配体结合和信号通路的理解。通过将结构数据与分子药理学相结合,我们探索了结构导向方法在开发针对孤儿GPCRs的靶向治疗药物方面的潜力。这种以结构生物学为中心的观点旨在加深我们对孤儿GPCRs的理解,并指导神经退行性疾病未来的药物发现工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cece/11505999/6bdd1b4d9592/cimb-46-00691-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验