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Computing infrared spectra of proteins using the exciton model
The ability to compute from first principles the infrared spectrum of a protein in solution phase representing a biological system would provide a useful connection to atomistic models of protein structure and dynamics. Indeed, such calculations are a vital complement to 2DIR experimental measuremen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434914/ https://www.ncbi.nlm.nih.gov/pubmed/27868210 http://dx.doi.org/10.1002/jcc.24674 |
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author | Husseini, Fouad S. Robinson, David Hunt, Neil T. Parker, Anthony W. Hirst, Jonathan D. |
author_facet | Husseini, Fouad S. Robinson, David Hunt, Neil T. Parker, Anthony W. Hirst, Jonathan D. |
author_sort | Husseini, Fouad S. |
collection | PubMed |
description | The ability to compute from first principles the infrared spectrum of a protein in solution phase representing a biological system would provide a useful connection to atomistic models of protein structure and dynamics. Indeed, such calculations are a vital complement to 2DIR experimental measurements, allowing the observed signals to be interpreted in terms of detailed structural and dynamical information. In this article, we have studied nine structurally and spectroscopically well‐characterized proteins, representing a range of structural types. We have simulated the equilibrium conformational dynamics in an explicit point charge water model. Using the resulting trajectories based on MD simulations, we have computed the one and two dimensional infrared spectra in the Amide I region, using an exciton approach, in which a local mode basis of carbonyl stretches is considered. The role of solvent in shifting the Amide I band (by 30 to 50 cm(−1)) is clearly evident. Similarly, the conformational dynamics contribute to the broadening of peaks in the spectrum. The inhomogeneous broadening in both the 1D and 2D spectra reflects the significant conformational diversity observed in the simulations. Through the computed 2D cross‐peak spectra, we show how different pulse schemes can provide additional information on the coupled vibrations. © 2016 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-5434914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54349142017-06-01 Computing infrared spectra of proteins using the exciton model Husseini, Fouad S. Robinson, David Hunt, Neil T. Parker, Anthony W. Hirst, Jonathan D. J Comput Chem Full Papers The ability to compute from first principles the infrared spectrum of a protein in solution phase representing a biological system would provide a useful connection to atomistic models of protein structure and dynamics. Indeed, such calculations are a vital complement to 2DIR experimental measurements, allowing the observed signals to be interpreted in terms of detailed structural and dynamical information. In this article, we have studied nine structurally and spectroscopically well‐characterized proteins, representing a range of structural types. We have simulated the equilibrium conformational dynamics in an explicit point charge water model. Using the resulting trajectories based on MD simulations, we have computed the one and two dimensional infrared spectra in the Amide I region, using an exciton approach, in which a local mode basis of carbonyl stretches is considered. The role of solvent in shifting the Amide I band (by 30 to 50 cm(−1)) is clearly evident. Similarly, the conformational dynamics contribute to the broadening of peaks in the spectrum. The inhomogeneous broadening in both the 1D and 2D spectra reflects the significant conformational diversity observed in the simulations. Through the computed 2D cross‐peak spectra, we show how different pulse schemes can provide additional information on the coupled vibrations. © 2016 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2016-11-21 2017-06-15 /pmc/articles/PMC5434914/ /pubmed/27868210 http://dx.doi.org/10.1002/jcc.24674 Text en © 2016 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (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 | Full Papers Husseini, Fouad S. Robinson, David Hunt, Neil T. Parker, Anthony W. Hirst, Jonathan D. Computing infrared spectra of proteins using the exciton model |
title | Computing infrared spectra of proteins using the exciton model |
title_full | Computing infrared spectra of proteins using the exciton model |
title_fullStr | Computing infrared spectra of proteins using the exciton model |
title_full_unstemmed | Computing infrared spectra of proteins using the exciton model |
title_short | Computing infrared spectra of proteins using the exciton model |
title_sort | computing infrared spectra of proteins using the exciton model |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434914/ https://www.ncbi.nlm.nih.gov/pubmed/27868210 http://dx.doi.org/10.1002/jcc.24674 |
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