Antibody recognition of cancer-related gangliosides and their mimics investigated using in silico site mapping

Agostino, M, Yuriev, E and Ramsland, P 2012, 'Antibody recognition of cancer-related gangliosides and their mimics investigated using in silico site mapping', PLoS ONE, vol. 7, no. 4, e35457, pp. 1-12.


Document type: Journal Article
Collection: Journal Articles

Title Antibody recognition of cancer-related gangliosides and their mimics investigated using in silico site mapping
Author(s) Agostino, M
Yuriev, E
Ramsland, P
Year 2012
Journal name PLoS ONE
Volume number 7
Issue number 4
Article Number e35457
Start page 1
End page 12
Total pages 12
Publisher Public Library of Science
Abstract Modified gangliosides may be overexpressed in certain types of cancer, thus, they are considered a valuable target in cancer immunotherapy. Structural knowledge of their interaction with antibodies is currently limited, due to the large size and high flexibility of these ligands. In this study, we apply our previously developed site mapping technique to investigate the recognition of cancer-related gangliosides by anti-ganglioside antibodies. The results reveal a potential ganglioside-binding motif in the four antibodies studied, suggesting the possibility of structural convergence in the anti-ganglioside immune response. The structural basis of the recognition of ganglioside-mimetic peptides is also investigated using site mapping and compared to ganglioside recognition. The peptides are shown to act as structural mimics of gangliosides by interacting with many of the same binding site residues as the cognate carbohydrate epitopes. These studies provide important clues as to the structural basis of immunological mimicry of carbohydrates.
Subject Structural Biology (incl. Macromolecular Modelling)
Medical Biochemistry: Carbohydrates
DOI - identifier 10.1371/journal.pone.0035457
Copyright notice © 2012 Agostino et al. 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 credited.
ISSN 1932-6203
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 14 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 105 Abstract Views  -  Detailed Statistics
Created: Wed, 03 Feb 2016, 09:16:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us