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A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase
Immunoglobulins are biomolecules involved in defence against foreign substances. Flexibility is key to their functional properties in relation to antigen binding and receptor interactions. We have developed an integrative strategy combining ion mobility mass spectrometry (IM‐MS) with molecular model...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392142/ https://www.ncbi.nlm.nih.gov/pubmed/30408305 http://dx.doi.org/10.1002/anie.201812018 |
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author | Hansen, Kjetil Lau, Andy M. Giles, Kevin McDonnell, James M. Struwe, Weston B. Sutton, Brian J. Politis, Argyris |
author_facet | Hansen, Kjetil Lau, Andy M. Giles, Kevin McDonnell, James M. Struwe, Weston B. Sutton, Brian J. Politis, Argyris |
author_sort | Hansen, Kjetil |
collection | PubMed |
description | Immunoglobulins are biomolecules involved in defence against foreign substances. Flexibility is key to their functional properties in relation to antigen binding and receptor interactions. We have developed an integrative strategy combining ion mobility mass spectrometry (IM‐MS) with molecular modelling to study the conformational dynamics of human IgG antibodies. Predictive models of all four human IgG subclasses were assembled and their dynamics sampled in the transition from extended to collapsed state during IM‐MS. Our data imply that this collapse of IgG antibodies is related to their intrinsic structural features, including Fab arm flexibility, collapse towards the Fc region, and the length of their hinge regions. The workflow presented here provides an accurate structural representation in good agreement with the observed collision cross section for these flexible IgG molecules. These results have implications for studying other nonglobular flexible proteins. |
format | Online Article Text |
id | pubmed-6392142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63921422019-03-07 A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase Hansen, Kjetil Lau, Andy M. Giles, Kevin McDonnell, James M. Struwe, Weston B. Sutton, Brian J. Politis, Argyris Angew Chem Int Ed Engl Communications Immunoglobulins are biomolecules involved in defence against foreign substances. Flexibility is key to their functional properties in relation to antigen binding and receptor interactions. We have developed an integrative strategy combining ion mobility mass spectrometry (IM‐MS) with molecular modelling to study the conformational dynamics of human IgG antibodies. Predictive models of all four human IgG subclasses were assembled and their dynamics sampled in the transition from extended to collapsed state during IM‐MS. Our data imply that this collapse of IgG antibodies is related to their intrinsic structural features, including Fab arm flexibility, collapse towards the Fc region, and the length of their hinge regions. The workflow presented here provides an accurate structural representation in good agreement with the observed collision cross section for these flexible IgG molecules. These results have implications for studying other nonglobular flexible proteins. John Wiley and Sons Inc. 2018-11-27 2018-12-21 /pmc/articles/PMC6392142/ /pubmed/30408305 http://dx.doi.org/10.1002/anie.201812018 Text en © 2018 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. 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 | Communications Hansen, Kjetil Lau, Andy M. Giles, Kevin McDonnell, James M. Struwe, Weston B. Sutton, Brian J. Politis, Argyris A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title | A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title_full | A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title_fullStr | A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title_full_unstemmed | A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title_short | A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase |
title_sort | mass‐spectrometry‐based modelling workflow for accurate prediction of igg antibody conformations in the gas phase |
topic | Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392142/ https://www.ncbi.nlm.nih.gov/pubmed/30408305 http://dx.doi.org/10.1002/anie.201812018 |
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