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Prediction and Reduction of the Aggregation of Monoclonal Antibodies
Protein aggregation remains a major area of focus in the production of monoclonal antibodies. Improving the intrinsic properties of antibodies can improve manufacturability, attrition rates, safety, formulation, titers, immunogenicity, and solubility. Here, we explore the potential of predicting and...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397608/ https://www.ncbi.nlm.nih.gov/pubmed/28322916 http://dx.doi.org/10.1016/j.jmb.2017.03.014 |
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author | van der Kant, Rob Karow-Zwick, Anne R. Van Durme, Joost Blech, Michaela Gallardo, Rodrigo Seeliger, Daniel Aßfalg, Kerstin Baatsen, Pieter Compernolle, Griet Gils, Ann Studts, Joey M. Schulz, Patrick Garidel, Patrick Schymkowitz, Joost Rousseau, Frederic |
author_facet | van der Kant, Rob Karow-Zwick, Anne R. Van Durme, Joost Blech, Michaela Gallardo, Rodrigo Seeliger, Daniel Aßfalg, Kerstin Baatsen, Pieter Compernolle, Griet Gils, Ann Studts, Joey M. Schulz, Patrick Garidel, Patrick Schymkowitz, Joost Rousseau, Frederic |
author_sort | van der Kant, Rob |
collection | PubMed |
description | Protein aggregation remains a major area of focus in the production of monoclonal antibodies. Improving the intrinsic properties of antibodies can improve manufacturability, attrition rates, safety, formulation, titers, immunogenicity, and solubility. Here, we explore the potential of predicting and reducing the aggregation propensity of monoclonal antibodies, based on the identification of aggregation-prone regions and their contribution to the thermodynamic stability of the protein. Although aggregation-prone regions are thought to occur in the antigen binding region to drive hydrophobic binding with antigen, we were able to rationally design variants that display a marked decrease in aggregation propensity while retaining antigen binding through the introduction of artificial aggregation gatekeeper residues. The reduction in aggregation propensity was accompanied by an increase in expression titer, showing that reducing protein aggregation is beneficial throughout the development process. The data presented show that this approach can significantly reduce liabilities in novel therapeutic antibodies and proteins, leading to a more efficient path to clinical studies. |
format | Online Article Text |
id | pubmed-5397608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53976082017-04-28 Prediction and Reduction of the Aggregation of Monoclonal Antibodies van der Kant, Rob Karow-Zwick, Anne R. Van Durme, Joost Blech, Michaela Gallardo, Rodrigo Seeliger, Daniel Aßfalg, Kerstin Baatsen, Pieter Compernolle, Griet Gils, Ann Studts, Joey M. Schulz, Patrick Garidel, Patrick Schymkowitz, Joost Rousseau, Frederic J Mol Biol Article Protein aggregation remains a major area of focus in the production of monoclonal antibodies. Improving the intrinsic properties of antibodies can improve manufacturability, attrition rates, safety, formulation, titers, immunogenicity, and solubility. Here, we explore the potential of predicting and reducing the aggregation propensity of monoclonal antibodies, based on the identification of aggregation-prone regions and their contribution to the thermodynamic stability of the protein. Although aggregation-prone regions are thought to occur in the antigen binding region to drive hydrophobic binding with antigen, we were able to rationally design variants that display a marked decrease in aggregation propensity while retaining antigen binding through the introduction of artificial aggregation gatekeeper residues. The reduction in aggregation propensity was accompanied by an increase in expression titer, showing that reducing protein aggregation is beneficial throughout the development process. The data presented show that this approach can significantly reduce liabilities in novel therapeutic antibodies and proteins, leading to a more efficient path to clinical studies. Elsevier 2017-04-21 /pmc/articles/PMC5397608/ /pubmed/28322916 http://dx.doi.org/10.1016/j.jmb.2017.03.014 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article van der Kant, Rob Karow-Zwick, Anne R. Van Durme, Joost Blech, Michaela Gallardo, Rodrigo Seeliger, Daniel Aßfalg, Kerstin Baatsen, Pieter Compernolle, Griet Gils, Ann Studts, Joey M. Schulz, Patrick Garidel, Patrick Schymkowitz, Joost Rousseau, Frederic Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title | Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title_full | Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title_fullStr | Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title_full_unstemmed | Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title_short | Prediction and Reduction of the Aggregation of Monoclonal Antibodies |
title_sort | prediction and reduction of the aggregation of monoclonal antibodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397608/ https://www.ncbi.nlm.nih.gov/pubmed/28322916 http://dx.doi.org/10.1016/j.jmb.2017.03.014 |
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