Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.

Recombinant antibodies are of profound clinical significance; yet, anti-carbohydrate antibodies are prone to undesirable cross-reactivity with structurally related-glycans. Here we introduce a new technology called Computational Carbohydrate Grafting (CCG), which enables a virtual library of glycans...

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Main Authors: Matthew B Tessier, Oliver C Grant, Jamie Heimburg-Molinaro, David Smith, Snehal Jadey, Andrew M Gulick, John Glushka, Susan L Deutscher, Kate Rittenhouse-Olson, Robert J Woods
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0054874
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author Matthew B Tessier
Oliver C Grant
Jamie Heimburg-Molinaro
David Smith
Snehal Jadey
Andrew M Gulick
John Glushka
Susan L Deutscher
Kate Rittenhouse-Olson
Robert J Woods
author_facet Matthew B Tessier
Oliver C Grant
Jamie Heimburg-Molinaro
David Smith
Snehal Jadey
Andrew M Gulick
John Glushka
Susan L Deutscher
Kate Rittenhouse-Olson
Robert J Woods
author_sort Matthew B Tessier
collection DOAJ
description Recombinant antibodies are of profound clinical significance; yet, anti-carbohydrate antibodies are prone to undesirable cross-reactivity with structurally related-glycans. Here we introduce a new technology called Computational Carbohydrate Grafting (CCG), which enables a virtual library of glycans to be assessed for protein binding specificity, and employ it to define the scope and structural origin of the binding specificity of antibody JAA-F11 for glycans containing the Thomsen-Friedenreich (TF) human tumor antigen. A virtual library of the entire human glycome (GLibrary-3D) was constructed, from which 1,182 TF-containing human glycans were identified and assessed for their ability to fit into the antibody combining site. The glycans were categorized into putative binders, or non-binders, on the basis of steric clashes with the antibody surface. The analysis employed a structure of the immune complex, generated by docking the TF-disaccharide (Galβ1-3GalNAcα) into a crystal structure of the JAA-F11 antigen binding fragment, which was shown to be consistent with saturation transfer difference (STD) NMR data. The specificities predicted by CCG were fully consistent with data from experimental glycan array screening, and confirmed that the antibody is selective for the TF-antigen and certain extended core-2 type mucins. Additionally, the CCG analysis identified a limited number of related putative binding motifs, and provided a structural basis for interpreting the specificity. CCG can be utilized to facilitate clinical applications through the determination of the three-dimensional interaction of glycans with proteins, thus augmenting drug and vaccine development techniques that seek to optimize the specificity and affinity of neutralizing proteins, which target glycans associated with diseases including cancer and HIV.
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spelling doaj-art-5463c8da170842a0ae77c464d711b7082025-08-20T03:10:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0181e5487410.1371/journal.pone.0054874Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.Matthew B TessierOliver C GrantJamie Heimburg-MolinaroDavid SmithSnehal JadeyAndrew M GulickJohn GlushkaSusan L DeutscherKate Rittenhouse-OlsonRobert J WoodsRecombinant antibodies are of profound clinical significance; yet, anti-carbohydrate antibodies are prone to undesirable cross-reactivity with structurally related-glycans. Here we introduce a new technology called Computational Carbohydrate Grafting (CCG), which enables a virtual library of glycans to be assessed for protein binding specificity, and employ it to define the scope and structural origin of the binding specificity of antibody JAA-F11 for glycans containing the Thomsen-Friedenreich (TF) human tumor antigen. A virtual library of the entire human glycome (GLibrary-3D) was constructed, from which 1,182 TF-containing human glycans were identified and assessed for their ability to fit into the antibody combining site. The glycans were categorized into putative binders, or non-binders, on the basis of steric clashes with the antibody surface. The analysis employed a structure of the immune complex, generated by docking the TF-disaccharide (Galβ1-3GalNAcα) into a crystal structure of the JAA-F11 antigen binding fragment, which was shown to be consistent with saturation transfer difference (STD) NMR data. The specificities predicted by CCG were fully consistent with data from experimental glycan array screening, and confirmed that the antibody is selective for the TF-antigen and certain extended core-2 type mucins. Additionally, the CCG analysis identified a limited number of related putative binding motifs, and provided a structural basis for interpreting the specificity. CCG can be utilized to facilitate clinical applications through the determination of the three-dimensional interaction of glycans with proteins, thus augmenting drug and vaccine development techniques that seek to optimize the specificity and affinity of neutralizing proteins, which target glycans associated with diseases including cancer and HIV.https://doi.org/10.1371/journal.pone.0054874
spellingShingle Matthew B Tessier
Oliver C Grant
Jamie Heimburg-Molinaro
David Smith
Snehal Jadey
Andrew M Gulick
John Glushka
Susan L Deutscher
Kate Rittenhouse-Olson
Robert J Woods
Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
PLoS ONE
title Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
title_full Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
title_fullStr Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
title_full_unstemmed Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
title_short Computational screening of the human TF-glycome provides a structural definition for the specificity of anti-tumor antibody JAA-F11.
title_sort computational screening of the human tf glycome provides a structural definition for the specificity of anti tumor antibody jaa f11
url https://doi.org/10.1371/journal.pone.0054874
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