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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
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.
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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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