Suppr超能文献

计算技术在研究 G 蛋白偶联受体-配体识别中的进展。

Advances in Computational Techniques to Study GPCR-Ligand Recognition.

机构信息

Molecular Modeling Section (MMS), Dipartimento di Scienze del Farmaco, Università Padova, via Marzolo 5, I-35131 Padova, Italy.

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Piazzale Europa 1, I-34127 Trieste, Italy.

出版信息

Trends Pharmacol Sci. 2015 Dec;36(12):878-890. doi: 10.1016/j.tips.2015.08.006. Epub 2015 Nov 1.

Abstract

G-protein-coupled receptors (GPCRs) are among the most intensely investigated drug targets. The recent revolutions in protein engineering and molecular modeling algorithms have overturned the research paradigm in the GPCR field. While the numerous ligand-bound X-ray structures determined have provided invaluable insights into GPCR structure and function, the development of algorithms exploiting graphics processing units (GPUs) has made the simulation of GPCRs in explicit lipid-water environments feasible within reasonable computation times. In this review we present a survey of the recent advances in structure-based drug design approaches with a particular emphasis on the elucidation of the ligand recognition process in class A GPCRs by means of membrane molecular dynamics (MD) simulations.

摘要

G 蛋白偶联受体(GPCRs)是研究最为深入的药物靶点之一。最近,蛋白质工程和分子建模算法的革命颠覆了 GPCR 领域的研究范式。虽然已经确定了许多配体结合的 X 射线结构,这些结构为 GPCR 的结构和功能提供了宝贵的见解,但利用图形处理单元(GPU)开发算法已经使得在合理的计算时间内模拟在明胶脂质-水环境中的 GPCR 成为可能。在这篇综述中,我们展示了基于结构的药物设计方法的最新进展,特别强调了通过膜分子动力学(MD)模拟阐明 A 类 GPCR 中的配体识别过程。

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