DEER Data Analysis Software: A Comparative Guide

Pulsed dipolar electron paramagnetic resonance (PDEPR) spectroscopy experiments measure the dipolar coupling, and therefore nanometer-scale distances and distance distributions, between paramagnetic centers. Of the family of PDEPR experiments, the most commonly used pulsed sequence is four-pulse dou...

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Detalles Bibliográficos
Autores principales: Russell, Hannah, Cura, Robyn, Lovett, Janet E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198588/
https://www.ncbi.nlm.nih.gov/pubmed/35720114
http://dx.doi.org/10.3389/fmolb.2022.915167
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author Russell, Hannah
Cura, Robyn
Lovett, Janet E.
author_facet Russell, Hannah
Cura, Robyn
Lovett, Janet E.
author_sort Russell, Hannah
collection PubMed
description Pulsed dipolar electron paramagnetic resonance (PDEPR) spectroscopy experiments measure the dipolar coupling, and therefore nanometer-scale distances and distance distributions, between paramagnetic centers. Of the family of PDEPR experiments, the most commonly used pulsed sequence is four-pulse double electron resonance (DEER, also known as PELDOR). There are several ways to analyze DEER data to extract distance distributions, and this may appear overwhelming at first. This work compares and reviews six of the packages, and a brief getting started guide for each is provided.
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spelling pubmed-91985882022-06-16 DEER Data Analysis Software: A Comparative Guide Russell, Hannah Cura, Robyn Lovett, Janet E. Front Mol Biosci Molecular Biosciences Pulsed dipolar electron paramagnetic resonance (PDEPR) spectroscopy experiments measure the dipolar coupling, and therefore nanometer-scale distances and distance distributions, between paramagnetic centers. Of the family of PDEPR experiments, the most commonly used pulsed sequence is four-pulse double electron resonance (DEER, also known as PELDOR). There are several ways to analyze DEER data to extract distance distributions, and this may appear overwhelming at first. This work compares and reviews six of the packages, and a brief getting started guide for each is provided. Frontiers Media S.A. 2022-06-01 /pmc/articles/PMC9198588/ /pubmed/35720114 http://dx.doi.org/10.3389/fmolb.2022.915167 Text en Copyright © 2022 Russell, Cura and Lovett. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Russell, Hannah
Cura, Robyn
Lovett, Janet E.
DEER Data Analysis Software: A Comparative Guide
title DEER Data Analysis Software: A Comparative Guide
title_full DEER Data Analysis Software: A Comparative Guide
title_fullStr DEER Data Analysis Software: A Comparative Guide
title_full_unstemmed DEER Data Analysis Software: A Comparative Guide
title_short DEER Data Analysis Software: A Comparative Guide
title_sort deer data analysis software: a comparative guide
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198588/
https://www.ncbi.nlm.nih.gov/pubmed/35720114
http://dx.doi.org/10.3389/fmolb.2022.915167
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