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Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches

Excipients are added to biopharmaceutical formulations to enhance protein stability and enable the development of robust formulations with acceptable physicochemical properties, but the mechanism by which they confer stability is not fully understood. Here, we aimed to elucidate the mechanism throug...

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Autores principales: Zhang, Chunting, Gossert, Steven T., Williams, Jonathan, Little, Michael, Barros, Marilia, Dear, Barton, Falk, Bradley, Kanthe, Ankit D., Garmise, Robert, Mueller, Luciano, Ilott, Andrew, Abraham, Anuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208151/
https://www.ncbi.nlm.nih.gov/pubmed/37218059
http://dx.doi.org/10.1080/19420862.2023.2212416
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author Zhang, Chunting
Gossert, Steven T.
Williams, Jonathan
Little, Michael
Barros, Marilia
Dear, Barton
Falk, Bradley
Kanthe, Ankit D.
Garmise, Robert
Mueller, Luciano
Ilott, Andrew
Abraham, Anuji
author_facet Zhang, Chunting
Gossert, Steven T.
Williams, Jonathan
Little, Michael
Barros, Marilia
Dear, Barton
Falk, Bradley
Kanthe, Ankit D.
Garmise, Robert
Mueller, Luciano
Ilott, Andrew
Abraham, Anuji
author_sort Zhang, Chunting
collection PubMed
description Excipients are added to biopharmaceutical formulations to enhance protein stability and enable the development of robust formulations with acceptable physicochemical properties, but the mechanism by which they confer stability is not fully understood. Here, we aimed to elucidate the mechanism through direct experimental evidence of the binding affinity of an excipient to a monoclonal antibody (mAb), using saturation transfer difference (STD) nuclear magnetic resonance (NMR) spectroscopic method. We ranked a series of excipients with respect to their dissociation constant (K(D)) and nonspecific binding constants (N(s)). In parallel, molecular dynamic and site identification by ligand competitive saturation (SILCS)-Monte Carlo simulations were done to rank the excipient proximity to the proteins, thereby corroborating the ranking by STD NMR. Finally, the excipient ranking by NMR was correlated with mAb conformational and colloidal stability. Our approach can aid excipient selection in biologic formulations by providing insights into mAb–excipient affinities before conventional and time-consuming excipient screening studies are conducted.
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spelling pubmed-102081512023-05-25 Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches Zhang, Chunting Gossert, Steven T. Williams, Jonathan Little, Michael Barros, Marilia Dear, Barton Falk, Bradley Kanthe, Ankit D. Garmise, Robert Mueller, Luciano Ilott, Andrew Abraham, Anuji MAbs Report Excipients are added to biopharmaceutical formulations to enhance protein stability and enable the development of robust formulations with acceptable physicochemical properties, but the mechanism by which they confer stability is not fully understood. Here, we aimed to elucidate the mechanism through direct experimental evidence of the binding affinity of an excipient to a monoclonal antibody (mAb), using saturation transfer difference (STD) nuclear magnetic resonance (NMR) spectroscopic method. We ranked a series of excipients with respect to their dissociation constant (K(D)) and nonspecific binding constants (N(s)). In parallel, molecular dynamic and site identification by ligand competitive saturation (SILCS)-Monte Carlo simulations were done to rank the excipient proximity to the proteins, thereby corroborating the ranking by STD NMR. Finally, the excipient ranking by NMR was correlated with mAb conformational and colloidal stability. Our approach can aid excipient selection in biologic formulations by providing insights into mAb–excipient affinities before conventional and time-consuming excipient screening studies are conducted. Taylor & Francis 2023-05-22 /pmc/articles/PMC10208151/ /pubmed/37218059 http://dx.doi.org/10.1080/19420862.2023.2212416 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Report
Zhang, Chunting
Gossert, Steven T.
Williams, Jonathan
Little, Michael
Barros, Marilia
Dear, Barton
Falk, Bradley
Kanthe, Ankit D.
Garmise, Robert
Mueller, Luciano
Ilott, Andrew
Abraham, Anuji
Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title_full Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title_fullStr Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title_full_unstemmed Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title_short Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches
title_sort ranking mab–excipient interactions in biologics formulations by nmr spectroscopy and computational approaches
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208151/
https://www.ncbi.nlm.nih.gov/pubmed/37218059
http://dx.doi.org/10.1080/19420862.2023.2212416
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