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Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †

Designing an antibody with the desired affinity to the antigen is challenging, often achieved by lengthening the hydrophobic CDRs, which can lead to aggregation and cause major hindrance to the development of successful biopharmaceutical products. Aggregation can cause immunogenicity, viscosity and...

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Autores principales: Lui, Lok Hin, van der Walle, Christopher F., Brocchini, Steve, Velayudhan, Ajoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219649/
https://www.ncbi.nlm.nih.gov/pubmed/35735359
http://dx.doi.org/10.3390/antib11020040
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author Lui, Lok Hin
van der Walle, Christopher F.
Brocchini, Steve
Velayudhan, Ajoy
author_facet Lui, Lok Hin
van der Walle, Christopher F.
Brocchini, Steve
Velayudhan, Ajoy
author_sort Lui, Lok Hin
collection PubMed
description Designing an antibody with the desired affinity to the antigen is challenging, often achieved by lengthening the hydrophobic CDRs, which can lead to aggregation and cause major hindrance to the development of successful biopharmaceutical products. Aggregation can cause immunogenicity, viscosity and stability issues affecting both the safety and quality of the product. As the hydrophobic residues on the CDR are required for direct binding to antigens, it is not always possible to substitute these residues for aggregation-reduction purposes. Therefore, discovery of specific excipients to prevent aggregation is highly desirable for formulation development. Here, we used a combination of in silico screening methods to identify aggregation-prone regions on an aggregation-prone therapeutic antibody. The most aggregation-prone region on the antibody was selected to conduct virtual screening of compounds that can bind to such regions and act as an aggregation breaker. The most promising excipient candidate was further studied alongside plain buffer formulations and formulations with trehalose using coarse-grained molecular dynamics (CGMD) simulations with MARTINI force field. Mean interaction value between two antibody molecules in each formulation was calculated based on 1024 replicates of 512 ns of such CGMD simulations. Corresponding formulations with an excipient:antibody ratio of 1:5 were compared experimentally by measuring the diffusion interaction parameter k(D) and accelerated stability studies. Although the compound with the highest affinity score did not show any additional protective effects compared with trehalose, this study proved using a combination of in silico tools can aid excipient design and formulation development.
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spelling pubmed-92196492022-06-24 Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association † Lui, Lok Hin van der Walle, Christopher F. Brocchini, Steve Velayudhan, Ajoy Antibodies (Basel) Article Designing an antibody with the desired affinity to the antigen is challenging, often achieved by lengthening the hydrophobic CDRs, which can lead to aggregation and cause major hindrance to the development of successful biopharmaceutical products. Aggregation can cause immunogenicity, viscosity and stability issues affecting both the safety and quality of the product. As the hydrophobic residues on the CDR are required for direct binding to antigens, it is not always possible to substitute these residues for aggregation-reduction purposes. Therefore, discovery of specific excipients to prevent aggregation is highly desirable for formulation development. Here, we used a combination of in silico screening methods to identify aggregation-prone regions on an aggregation-prone therapeutic antibody. The most aggregation-prone region on the antibody was selected to conduct virtual screening of compounds that can bind to such regions and act as an aggregation breaker. The most promising excipient candidate was further studied alongside plain buffer formulations and formulations with trehalose using coarse-grained molecular dynamics (CGMD) simulations with MARTINI force field. Mean interaction value between two antibody molecules in each formulation was calculated based on 1024 replicates of 512 ns of such CGMD simulations. Corresponding formulations with an excipient:antibody ratio of 1:5 were compared experimentally by measuring the diffusion interaction parameter k(D) and accelerated stability studies. Although the compound with the highest affinity score did not show any additional protective effects compared with trehalose, this study proved using a combination of in silico tools can aid excipient design and formulation development. MDPI 2022-06-08 /pmc/articles/PMC9219649/ /pubmed/35735359 http://dx.doi.org/10.3390/antib11020040 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lui, Lok Hin
van der Walle, Christopher F.
Brocchini, Steve
Velayudhan, Ajoy
Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title_full Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title_fullStr Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title_full_unstemmed Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title_short Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association †
title_sort discovering novel small molecule compound for prevention of monoclonal antibody self-association †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219649/
https://www.ncbi.nlm.nih.gov/pubmed/35735359
http://dx.doi.org/10.3390/antib11020040
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