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A Mass‐Spectrometry‐Based Modelling Workflow for Accurate Prediction of IgG Antibody Conformations in the Gas Phase.

Authors :
Hansen, Kjetil
Lau, Andy M.
Giles, Kevin
McDonnell, James M.
Struwe, Weston B.
Sutton, Brian J.
Politis, Argyris
Source :
Angewandte Chemie International Edition. Dec2018, Vol. 57 Issue 52, p17194-17199. 6p.
Publication Year :
2018

Abstract

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. Not to be IgG‐nored: An integrative strategy combining ion mobility mass spectrometry (IM‐MS) with molecular modelling can be used 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. The structural representation is in good agreement with the observed collision cross sections. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14337851
Volume :
57
Issue :
52
Database :
Academic Search Index
Journal :
Angewandte Chemie International Edition
Publication Type :
Academic Journal
Accession number :
133626498
Full Text :
https://doi.org/10.1002/anie.201812018