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Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful techni...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672191/ https://www.ncbi.nlm.nih.gov/pubmed/23750215 http://dx.doi.org/10.1371/journal.pone.0064840 |
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author | Varriale, Antonio Marabotti, Anna Mei, Giampiero Staiano, Maria D’Auria, Sabato |
author_facet | Varriale, Antonio Marabotti, Anna Mei, Giampiero Staiano, Maria D’Auria, Sabato |
author_sort | Varriale, Antonio |
collection | PubMed |
description | In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful technique for characterizing the dynamics of molecules and it is, in fact, used to study molecular diffusion on timescale of microsecond and longer. Our results showed that keeping temperature constant, the protein diffusion coefficient decreased from 84±4 µm(2)/s to 44±3 µm(2)/s when pH was changed from 7.0 to 4.0. An even more marked decrease of the MalE2 diffusion coefficient (31±3 µm(2)/s) was registered when pH was raised from 7.0 to 10.0. According to the size of MalE2 (a monomeric protein with a molecular weight of 43 kDa) as well as of its globular native shape, the values of 44 µm(2)/s and 31 µm(2)/s could be ascribed to deformations of the protein structure, which enhances its propensity to form aggregates at extreme pH values. The obtained fluorescence correlation data, corroborated by circular dichroism, fluorescence emission and light-scattering experiments, are discussed together with the MD simulations results. |
format | Online Article Text |
id | pubmed-3672191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36721912013-06-07 Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins Varriale, Antonio Marabotti, Anna Mei, Giampiero Staiano, Maria D’Auria, Sabato PLoS One Research Article In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful technique for characterizing the dynamics of molecules and it is, in fact, used to study molecular diffusion on timescale of microsecond and longer. Our results showed that keeping temperature constant, the protein diffusion coefficient decreased from 84±4 µm(2)/s to 44±3 µm(2)/s when pH was changed from 7.0 to 4.0. An even more marked decrease of the MalE2 diffusion coefficient (31±3 µm(2)/s) was registered when pH was raised from 7.0 to 10.0. According to the size of MalE2 (a monomeric protein with a molecular weight of 43 kDa) as well as of its globular native shape, the values of 44 µm(2)/s and 31 µm(2)/s could be ascribed to deformations of the protein structure, which enhances its propensity to form aggregates at extreme pH values. The obtained fluorescence correlation data, corroborated by circular dichroism, fluorescence emission and light-scattering experiments, are discussed together with the MD simulations results. Public Library of Science 2013-06-04 /pmc/articles/PMC3672191/ /pubmed/23750215 http://dx.doi.org/10.1371/journal.pone.0064840 Text en © 2013 Varriale et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Varriale, Antonio Marabotti, Anna Mei, Giampiero Staiano, Maria D’Auria, Sabato Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title | Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title_full | Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title_fullStr | Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title_full_unstemmed | Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title_short | Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins |
title_sort | correlation spectroscopy and molecular dynamics simulations to study the structural features of proteins |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672191/ https://www.ncbi.nlm.nih.gov/pubmed/23750215 http://dx.doi.org/10.1371/journal.pone.0064840 |
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