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Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments

Crucial to the function of proteins is their existence as conformational ensembles sampling numerous and structurally diverse substates. Despite this widely accepted notion there is still a high demand for meaningful and reliable approaches to characterize protein ensembles in solution. As it is usu...

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Autores principales: Kauffmann, Clemens, Zawadzka‐Kazimierczuk, Anna, Kontaxis, Georg, Konrat, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839595/
https://www.ncbi.nlm.nih.gov/pubmed/33119214
http://dx.doi.org/10.1002/cphc.202000789
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author Kauffmann, Clemens
Zawadzka‐Kazimierczuk, Anna
Kontaxis, Georg
Konrat, Robert
author_facet Kauffmann, Clemens
Zawadzka‐Kazimierczuk, Anna
Kontaxis, Georg
Konrat, Robert
author_sort Kauffmann, Clemens
collection PubMed
description Crucial to the function of proteins is their existence as conformational ensembles sampling numerous and structurally diverse substates. Despite this widely accepted notion there is still a high demand for meaningful and reliable approaches to characterize protein ensembles in solution. As it is usually conducted in solution, NMR spectroscopy offers unique possibilities to address this challenge. Particularly, cross‐correlated relaxation (CCR) effects have long been established to encode both protein structure and dynamics in a compelling manner. However, this wealth of information often limits their use in practice as structure and dynamics might prove difficult to disentangle. Using a modern Maximum Entropy (MaxEnt) reweighting approach to interpret CCR rates of Ubiquitin, we demonstrate that these uncertainties do not necessarily impair resolving CCR‐encoded structural information. Instead, a suitable balance between complementary CCR experiments and prior information is found to be the most crucial factor in mapping backbone dihedral angle distributions. Experimental and systematic deviations such as oversimplified dynamics appear to be of minor importance. Using Ubiquitin as an example, we demonstrate that CCR rates are capable of characterizing rigid and flexible residues alike, indicating their unharnessed potential in studying disordered proteins.
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spelling pubmed-78395952021-02-01 Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments Kauffmann, Clemens Zawadzka‐Kazimierczuk, Anna Kontaxis, Georg Konrat, Robert Chemphyschem Articles Crucial to the function of proteins is their existence as conformational ensembles sampling numerous and structurally diverse substates. Despite this widely accepted notion there is still a high demand for meaningful and reliable approaches to characterize protein ensembles in solution. As it is usually conducted in solution, NMR spectroscopy offers unique possibilities to address this challenge. Particularly, cross‐correlated relaxation (CCR) effects have long been established to encode both protein structure and dynamics in a compelling manner. However, this wealth of information often limits their use in practice as structure and dynamics might prove difficult to disentangle. Using a modern Maximum Entropy (MaxEnt) reweighting approach to interpret CCR rates of Ubiquitin, we demonstrate that these uncertainties do not necessarily impair resolving CCR‐encoded structural information. Instead, a suitable balance between complementary CCR experiments and prior information is found to be the most crucial factor in mapping backbone dihedral angle distributions. Experimental and systematic deviations such as oversimplified dynamics appear to be of minor importance. Using Ubiquitin as an example, we demonstrate that CCR rates are capable of characterizing rigid and flexible residues alike, indicating their unharnessed potential in studying disordered proteins. John Wiley and Sons Inc. 2020-12-10 2021-01-07 /pmc/articles/PMC7839595/ /pubmed/33119214 http://dx.doi.org/10.1002/cphc.202000789 Text en © 2020 The Authors. ChemPhysChem published by Wiley-VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Kauffmann, Clemens
Zawadzka‐Kazimierczuk, Anna
Kontaxis, Georg
Konrat, Robert
Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title_full Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title_fullStr Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title_full_unstemmed Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title_short Using Cross‐Correlated Spin Relaxation to Characterize Backbone Dihedral Angle Distributions of Flexible Protein Segments
title_sort using cross‐correlated spin relaxation to characterize backbone dihedral angle distributions of flexible protein segments
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839595/
https://www.ncbi.nlm.nih.gov/pubmed/33119214
http://dx.doi.org/10.1002/cphc.202000789
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