Analyzing CW EPR Spectra of Nitroxide Labeled Macromolecules

IF 1.1 4区 物理与天体物理 Q4 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL Applied Magnetic Resonance Pub Date : 2023-09-07 DOI:10.1007/s00723-023-01610-2
Christian Altenbach, David Budil
{"title":"Analyzing CW EPR Spectra of Nitroxide Labeled Macromolecules","authors":"Christian Altenbach,&nbsp;David Budil","doi":"10.1007/s00723-023-01610-2","DOIUrl":null,"url":null,"abstract":"<div><p>Historically, the primary result of an EPR experiment is the CW EPR spectrum, typically displayed as the first derivative of the absorption spectrum as a function of the magnetic field. Beyond very qualitative assessments, the detailed analysis of an experimental EPR spectrum is a difficult inverse problem. Given a set of parameters and a model, it is easy to calculate a spectrum, but given an EPR spectrum, it is a challenge to decide on the correct model and find all defining parameters of interest. Programs to simulate and fit CW EPR spectra have been around for a long time. Except for a very well-defined model system, an experimental spectrum of a spin labeled protein is typically a mix of multiple states. This article focuses on the analysis of the CW spectrum in several stages of detail, from qualitative to detailed. The use of the EPR lineshape fitting program MultiComponent developed in the Hubbell lab is used to illustrate common approaches to extract information relevant to protein structure, function, dynamics, and thermodynamics.</p></div>","PeriodicalId":469,"journal":{"name":"Applied Magnetic Resonance","volume":"55 1-3","pages":"159 - 186"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00723-023-01610-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Magnetic Resonance","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s00723-023-01610-2","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, ATOMIC, MOLECULAR & CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Historically, the primary result of an EPR experiment is the CW EPR spectrum, typically displayed as the first derivative of the absorption spectrum as a function of the magnetic field. Beyond very qualitative assessments, the detailed analysis of an experimental EPR spectrum is a difficult inverse problem. Given a set of parameters and a model, it is easy to calculate a spectrum, but given an EPR spectrum, it is a challenge to decide on the correct model and find all defining parameters of interest. Programs to simulate and fit CW EPR spectra have been around for a long time. Except for a very well-defined model system, an experimental spectrum of a spin labeled protein is typically a mix of multiple states. This article focuses on the analysis of the CW spectrum in several stages of detail, from qualitative to detailed. The use of the EPR lineshape fitting program MultiComponent developed in the Hubbell lab is used to illustrate common approaches to extract information relevant to protein structure, function, dynamics, and thermodynamics.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
氮氧化物标记大分子的连续波EPR光谱分析
从历史上看,EPR 实验的主要结果是 CW EPR 光谱,通常显示为吸收光谱随磁场变化的一阶导数。除了非常定性的评估之外,对实验 EPR 光谱的详细分析是一个困难的逆问题。给定一组参数和一个模型,很容易计算出一个光谱,但给定一个 EPR 光谱,如何确定正确的模型并找到所有相关的定义参数是一个挑战。模拟和拟合 CW EPR 光谱的程序由来已久。除了定义非常明确的模型系统外,自旋标记蛋白质的实验光谱通常是多种状态的混合。本文重点介绍从定性到详细几个阶段的 CW 光谱分析。文章使用 Hubbell 实验室开发的 EPR 线形拟合程序 MultiComponent 来说明提取蛋白质结构、功能、动力学和热力学相关信息的常用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Magnetic Resonance
Applied Magnetic Resonance 物理-光谱学
CiteScore
1.90
自引率
10.00%
发文量
59
审稿时长
2.3 months
期刊介绍: Applied Magnetic Resonance provides an international forum for the application of magnetic resonance in physics, chemistry, biology, medicine, geochemistry, ecology, engineering, and related fields. The contents include articles with a strong emphasis on new applications, and on new experimental methods. Additional features include book reviews and Letters to the Editor.
期刊最新文献
Deep-Learning Segmentation of Bleomycin-Induced Pulmonary Fibrosis in Rats Using U-Net 3 + by 3D UTE-MRI Influence of Ge concentration on magnetic properties of \(\hbox {Co}_{(1-x)} \hbox {Ge}_{x}\) thin films A Method for Analyzing Data from 1- and 2-Dimensional Relaxation and Diffusion NMR Experiments by Determination of their Expectation Values and Standard Deviations Photocurrent EDMR Measurement and Carrier Behavior of TIPS-Pentacene Under FET Device Operation Nitroxide Spin Labels for Exploring Relationships Between Molecular Structure, Microenvironment and EPR Parameters: A Mini-review Dedicated to Carlo Corvaja
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1