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Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling
High resolution hydroxyl radical protein footprinting (HR-HRPF) is a mass spectrometry-based method that measures the solvent exposure of multiple amino acids in a single experiment, offering constraints for experimentally informed computational modeling. HR-HRPF-based modeling has previously been u...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098640/ https://www.ncbi.nlm.nih.gov/pubmed/35551273 http://dx.doi.org/10.1038/s42003-022-03411-y |
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author | Khaje, Niloofar Abolhasani Eletsky, Alexander Biehn, Sarah E. Mobley, Charles K. Rogals, Monique J. Kim, Yoonkyoo Mishra, Sushil K. Doerksen, Robert J. Lindert, Steffen Prestegard, James H. Sharp, Joshua S. |
author_facet | Khaje, Niloofar Abolhasani Eletsky, Alexander Biehn, Sarah E. Mobley, Charles K. Rogals, Monique J. Kim, Yoonkyoo Mishra, Sushil K. Doerksen, Robert J. Lindert, Steffen Prestegard, James H. Sharp, Joshua S. |
author_sort | Khaje, Niloofar Abolhasani |
collection | PubMed |
description | High resolution hydroxyl radical protein footprinting (HR-HRPF) is a mass spectrometry-based method that measures the solvent exposure of multiple amino acids in a single experiment, offering constraints for experimentally informed computational modeling. HR-HRPF-based modeling has previously been used to accurately model the structure of proteins of known structure, but the technique has never been used to determine the structure of a protein of unknown structure. Here, we present the use of HR-HRPF-based modeling to determine the structure of the Ig-like domain of NRG1, a protein with no close homolog of known structure. Independent determination of the protein structure by both HR-HRPF-based modeling and heteronuclear NMR was carried out, with results compared only after both processes were complete. The HR-HRPF-based model was highly similar to the lowest energy NMR model, with a backbone RMSD of 1.6 Å. To our knowledge, this is the first use of HR-HRPF-based modeling to determine a previously uncharacterized protein structure. |
format | Online Article Text |
id | pubmed-9098640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90986402022-05-14 Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling Khaje, Niloofar Abolhasani Eletsky, Alexander Biehn, Sarah E. Mobley, Charles K. Rogals, Monique J. Kim, Yoonkyoo Mishra, Sushil K. Doerksen, Robert J. Lindert, Steffen Prestegard, James H. Sharp, Joshua S. Commun Biol Article High resolution hydroxyl radical protein footprinting (HR-HRPF) is a mass spectrometry-based method that measures the solvent exposure of multiple amino acids in a single experiment, offering constraints for experimentally informed computational modeling. HR-HRPF-based modeling has previously been used to accurately model the structure of proteins of known structure, but the technique has never been used to determine the structure of a protein of unknown structure. Here, we present the use of HR-HRPF-based modeling to determine the structure of the Ig-like domain of NRG1, a protein with no close homolog of known structure. Independent determination of the protein structure by both HR-HRPF-based modeling and heteronuclear NMR was carried out, with results compared only after both processes were complete. The HR-HRPF-based model was highly similar to the lowest energy NMR model, with a backbone RMSD of 1.6 Å. To our knowledge, this is the first use of HR-HRPF-based modeling to determine a previously uncharacterized protein structure. Nature Publishing Group UK 2022-05-12 /pmc/articles/PMC9098640/ /pubmed/35551273 http://dx.doi.org/10.1038/s42003-022-03411-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khaje, Niloofar Abolhasani Eletsky, Alexander Biehn, Sarah E. Mobley, Charles K. Rogals, Monique J. Kim, Yoonkyoo Mishra, Sushil K. Doerksen, Robert J. Lindert, Steffen Prestegard, James H. Sharp, Joshua S. Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title | Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title_full | Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title_fullStr | Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title_full_unstemmed | Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title_short | Validated determination of NRG1 Ig-like domain structure by mass spectrometry coupled with computational modeling |
title_sort | validated determination of nrg1 ig-like domain structure by mass spectrometry coupled with computational modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098640/ https://www.ncbi.nlm.nih.gov/pubmed/35551273 http://dx.doi.org/10.1038/s42003-022-03411-y |
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