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Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking
Detailed description of the mechanism of action of the therapeutic antibodies is essential for the functional characterization and future optimization of potential clinical agents. We recently developed KD035, a fully human antibody targeting vascular endothelial growth factor receptor 2 (VEGFR2). K...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544432/ https://www.ncbi.nlm.nih.gov/pubmed/34773424 http://dx.doi.org/10.1002/prot.26280 |
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author | Depetris, Rafael S. Lu, Dan Polonskaya, Zhanna Zhang, Zhikai Luna, Xenia Tankard, Amari Kolahi, Pegah Drummond, Michael Williams, Chris Ebert, Maximilian C. C. J. C. Patel, Jeegar P. Poyurovsky, Masha V. |
author_facet | Depetris, Rafael S. Lu, Dan Polonskaya, Zhanna Zhang, Zhikai Luna, Xenia Tankard, Amari Kolahi, Pegah Drummond, Michael Williams, Chris Ebert, Maximilian C. C. J. C. Patel, Jeegar P. Poyurovsky, Masha V. |
author_sort | Depetris, Rafael S. |
collection | PubMed |
description | Detailed description of the mechanism of action of the therapeutic antibodies is essential for the functional characterization and future optimization of potential clinical agents. We recently developed KD035, a fully human antibody targeting vascular endothelial growth factor receptor 2 (VEGFR2). KD035 blocked VEGF‐A, and VEGF‐C‐mediated VEGFR2 activation, as demonstrated by the in vitro binding and competition assays and functional cellular assays. Here, we report a computational model of the complex between the variable fragment of KD035 (KD035(Fv)) and the domains 2 and 3 of the extracellular portion of VEGFR2 (VEGFR2(D2‐3)). Our modeling was guided by a priori experimental information including the X‐ray structures of KD035 and related antibodies, binding assays, target domain mapping and comparison of KD035 affinity for VEGFR2 from different species. The accuracy of the model was assessed by molecular dynamics simulations, and subsequently validated by mutagenesis and binding analysis. Importantly, the steps followed during the generation of this model can set a precedent for future in silico efforts aimed at the accurate description of the antibody–antigen and more broadly protein–protein complexes. |
format | Online Article Text |
id | pubmed-9544432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95444322022-10-14 Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking Depetris, Rafael S. Lu, Dan Polonskaya, Zhanna Zhang, Zhikai Luna, Xenia Tankard, Amari Kolahi, Pegah Drummond, Michael Williams, Chris Ebert, Maximilian C. C. J. C. Patel, Jeegar P. Poyurovsky, Masha V. Proteins Research Articles Detailed description of the mechanism of action of the therapeutic antibodies is essential for the functional characterization and future optimization of potential clinical agents. We recently developed KD035, a fully human antibody targeting vascular endothelial growth factor receptor 2 (VEGFR2). KD035 blocked VEGF‐A, and VEGF‐C‐mediated VEGFR2 activation, as demonstrated by the in vitro binding and competition assays and functional cellular assays. Here, we report a computational model of the complex between the variable fragment of KD035 (KD035(Fv)) and the domains 2 and 3 of the extracellular portion of VEGFR2 (VEGFR2(D2‐3)). Our modeling was guided by a priori experimental information including the X‐ray structures of KD035 and related antibodies, binding assays, target domain mapping and comparison of KD035 affinity for VEGFR2 from different species. The accuracy of the model was assessed by molecular dynamics simulations, and subsequently validated by mutagenesis and binding analysis. Importantly, the steps followed during the generation of this model can set a precedent for future in silico efforts aimed at the accurate description of the antibody–antigen and more broadly protein–protein complexes. John Wiley & Sons, Inc. 2021-11-25 2022-04 /pmc/articles/PMC9544432/ /pubmed/34773424 http://dx.doi.org/10.1002/prot.26280 Text en © 2021 Kadmon Corporation LLC. Proteins: Structure, Function, and Bioinformatics on published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Depetris, Rafael S. Lu, Dan Polonskaya, Zhanna Zhang, Zhikai Luna, Xenia Tankard, Amari Kolahi, Pegah Drummond, Michael Williams, Chris Ebert, Maximilian C. C. J. C. Patel, Jeegar P. Poyurovsky, Masha V. Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title | Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title_full | Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title_fullStr | Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title_full_unstemmed | Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title_short | Functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
title_sort | functional antibody characterization via direct structural analysis and information‐driven protein–protein docking |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544432/ https://www.ncbi.nlm.nih.gov/pubmed/34773424 http://dx.doi.org/10.1002/prot.26280 |
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