{"title":"通过 MD 模拟揭示核受体中配体诱导的动态变化","authors":"Tracy Yu , Nishanti Sudhakar , C. Denise Okafor","doi":"10.1016/j.bbagrm.2024.195025","DOIUrl":null,"url":null,"abstract":"<div><p>Nuclear receptors (NRs) regulate gene expression in critical physiological processes, with their functionality finely tuned by ligand-induced conformational changes. While NRs may sometimes undergo significant conformational motions in response to ligand-binding, these effects are more commonly subtle and challenging to study by traditional structural or biophysical methods. Molecular dynamics (MD) simulations are a powerful tool to bridge the gap between static protein-ligand structures and dynamical changes that govern NR function. Here, we summarize a handful of recent studies that apply MD simulations to study NRs. We present diverse methodologies for analyzing simulation data with a detailed examination of the information each method can yield. By delving into the strengths, limitations and unique contributions of these tools, this review provides guidance for extracting meaningful data from MD simulations to advance the goal of understanding the intricate mechanisms by which ligands orchestrate a range of functional outcomes in NRs.</p></div>","PeriodicalId":55382,"journal":{"name":"Biochimica et Biophysica Acta-Gene Regulatory Mechanisms","volume":"1867 2","pages":"Article 195025"},"PeriodicalIF":2.6000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S187493992400021X/pdfft?md5=7d5eb13de1394345e0d37b70621dfa76&pid=1-s2.0-S187493992400021X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Illuminating ligand-induced dynamics in nuclear receptors through MD simulations\",\"authors\":\"Tracy Yu , Nishanti Sudhakar , C. Denise Okafor\",\"doi\":\"10.1016/j.bbagrm.2024.195025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Nuclear receptors (NRs) regulate gene expression in critical physiological processes, with their functionality finely tuned by ligand-induced conformational changes. While NRs may sometimes undergo significant conformational motions in response to ligand-binding, these effects are more commonly subtle and challenging to study by traditional structural or biophysical methods. Molecular dynamics (MD) simulations are a powerful tool to bridge the gap between static protein-ligand structures and dynamical changes that govern NR function. Here, we summarize a handful of recent studies that apply MD simulations to study NRs. We present diverse methodologies for analyzing simulation data with a detailed examination of the information each method can yield. By delving into the strengths, limitations and unique contributions of these tools, this review provides guidance for extracting meaningful data from MD simulations to advance the goal of understanding the intricate mechanisms by which ligands orchestrate a range of functional outcomes in NRs.</p></div>\",\"PeriodicalId\":55382,\"journal\":{\"name\":\"Biochimica et Biophysica Acta-Gene Regulatory Mechanisms\",\"volume\":\"1867 2\",\"pages\":\"Article 195025\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S187493992400021X/pdfft?md5=7d5eb13de1394345e0d37b70621dfa76&pid=1-s2.0-S187493992400021X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochimica et Biophysica Acta-Gene Regulatory Mechanisms\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S187493992400021X\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochimica et Biophysica Acta-Gene Regulatory Mechanisms","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187493992400021X","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
核受体(NR)在关键生理过程中调节基因表达,其功能通过配体诱导的构象变化进行微调。虽然核受体有时会因配体的结合而发生显著的构象变化,但这些效应通常比较微妙,用传统的结构或生物物理方法进行研究具有挑战性。分子动力学(MD)模拟是弥合静态蛋白质配体结构与支配 NR 功能的动态变化之间差距的有力工具。在此,我们总结了近期应用 MD 模拟研究 NR 的一些研究。我们介绍了分析模拟数据的各种方法,并详细分析了每种方法所能产生的信息。通过深入探讨这些工具的优势、局限性和独特贡献,本综述为从 MD 模拟中提取有意义的数据提供了指导,从而推动实现理解配体协调 NR 中一系列功能结果的复杂机制这一目标。
Illuminating ligand-induced dynamics in nuclear receptors through MD simulations
Nuclear receptors (NRs) regulate gene expression in critical physiological processes, with their functionality finely tuned by ligand-induced conformational changes. While NRs may sometimes undergo significant conformational motions in response to ligand-binding, these effects are more commonly subtle and challenging to study by traditional structural or biophysical methods. Molecular dynamics (MD) simulations are a powerful tool to bridge the gap between static protein-ligand structures and dynamical changes that govern NR function. Here, we summarize a handful of recent studies that apply MD simulations to study NRs. We present diverse methodologies for analyzing simulation data with a detailed examination of the information each method can yield. By delving into the strengths, limitations and unique contributions of these tools, this review provides guidance for extracting meaningful data from MD simulations to advance the goal of understanding the intricate mechanisms by which ligands orchestrate a range of functional outcomes in NRs.
期刊介绍:
BBA Gene Regulatory Mechanisms includes reports that describe novel insights into mechanisms of transcriptional, post-transcriptional and translational gene regulation. Special emphasis is placed on papers that identify epigenetic mechanisms of gene regulation, including chromatin, modification, and remodeling. This section also encompasses mechanistic studies of regulatory proteins and protein complexes; regulatory or mechanistic aspects of RNA processing; regulation of expression by small RNAs; genomic analysis of gene expression patterns; and modeling of gene regulatory pathways. Papers describing gene promoters, enhancers, silencers or other regulatory DNA regions must incorporate significant functions studies.