Antibody association in solution: cluster distributions and mechanisms

Understanding factors that affect the clustering and association of antibodies molecules in solution is critical to their development as therapeutics. For 19 different monoclonal antibody (mAb) solutions, we measured the viscosities, the second virial coefficients, the Kirkwood-Buff integrals, and t...

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Main Authors: Sandi Brudar, Leonid Breydo, Elisha Chung, Ken A. Dill, Nasim Ehterami, Ketan Phadnis, Samir Senapati, Mohammed Shameem, Xiaolin Tang, Muhammmad Tayyab, Barbara Hribar-Lee
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:mAbs
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Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2024.2339582
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author Sandi Brudar
Leonid Breydo
Elisha Chung
Ken A. Dill
Nasim Ehterami
Ketan Phadnis
Samir Senapati
Mohammed Shameem
Xiaolin Tang
Muhammmad Tayyab
Barbara Hribar-Lee
author_facet Sandi Brudar
Leonid Breydo
Elisha Chung
Ken A. Dill
Nasim Ehterami
Ketan Phadnis
Samir Senapati
Mohammed Shameem
Xiaolin Tang
Muhammmad Tayyab
Barbara Hribar-Lee
author_sort Sandi Brudar
collection DOAJ
description Understanding factors that affect the clustering and association of antibodies molecules in solution is critical to their development as therapeutics. For 19 different monoclonal antibody (mAb) solutions, we measured the viscosities, the second virial coefficients, the Kirkwood-Buff integrals, and the cluster distributions of the antibody molecules as functions of protein concentration. Solutions were modeled using the statistical-physics Wertheim liquid-solution theory, representing antibodies as Y-shaped molecular structures of seven beads each. We found that high-viscosity solutions result from more antibody molecules per cluster. Multi-body properties such as viscosity are well predicted experimentally by the 2-body Kirkwood-Buff quantity, G22, but not by the second virial coefficient, B22, and well-predicted theoretically from the Wertheim protein–protein sticking energy. Weakly interacting antibodies are rate-limited by nucleation; strongly interacting ones by propagation. This approach gives a way to relate micro to macro properties of solutions of associating proteins.
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publishDate 2024-12-01
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spelling doaj-art-8d762b7c24c345f59e346532165988ed2025-01-31T04:19:38ZengTaylor & Francis GroupmAbs1942-08621942-08702024-12-0116110.1080/19420862.2024.2339582Antibody association in solution: cluster distributions and mechanismsSandi Brudar0Leonid Breydo1Elisha Chung2Ken A. Dill3Nasim Ehterami4Ketan Phadnis5Samir Senapati6Mohammed Shameem7Xiaolin Tang8Muhammmad Tayyab9Barbara Hribar-Lee10Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, SloveniaFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USALaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFormulation Development Group, Regeneron Pharmaceuticals, Tarrytown, NY, USAFaculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, SloveniaUnderstanding factors that affect the clustering and association of antibodies molecules in solution is critical to their development as therapeutics. For 19 different monoclonal antibody (mAb) solutions, we measured the viscosities, the second virial coefficients, the Kirkwood-Buff integrals, and the cluster distributions of the antibody molecules as functions of protein concentration. Solutions were modeled using the statistical-physics Wertheim liquid-solution theory, representing antibodies as Y-shaped molecular structures of seven beads each. We found that high-viscosity solutions result from more antibody molecules per cluster. Multi-body properties such as viscosity are well predicted experimentally by the 2-body Kirkwood-Buff quantity, G22, but not by the second virial coefficient, B22, and well-predicted theoretically from the Wertheim protein–protein sticking energy. Weakly interacting antibodies are rate-limited by nucleation; strongly interacting ones by propagation. This approach gives a way to relate micro to macro properties of solutions of associating proteins.https://www.tandfonline.com/doi/10.1080/19420862.2024.2339582AggregationviscosityG22modelingthermodynamic perturbation theory
spellingShingle Sandi Brudar
Leonid Breydo
Elisha Chung
Ken A. Dill
Nasim Ehterami
Ketan Phadnis
Samir Senapati
Mohammed Shameem
Xiaolin Tang
Muhammmad Tayyab
Barbara Hribar-Lee
Antibody association in solution: cluster distributions and mechanisms
mAbs
Aggregation
viscosity
G22
modeling
thermodynamic perturbation theory
title Antibody association in solution: cluster distributions and mechanisms
title_full Antibody association in solution: cluster distributions and mechanisms
title_fullStr Antibody association in solution: cluster distributions and mechanisms
title_full_unstemmed Antibody association in solution: cluster distributions and mechanisms
title_short Antibody association in solution: cluster distributions and mechanisms
title_sort antibody association in solution cluster distributions and mechanisms
topic Aggregation
viscosity
G22
modeling
thermodynamic perturbation theory
url https://www.tandfonline.com/doi/10.1080/19420862.2024.2339582
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