Monoclonal antibody solutions represent a unique class of protein solutions whose microscopic structure and dynamics govern key pharmaceutical properties, including viscosity, stability, self-association, and aggregation. These phenomena become crucial in highly concentrated formulations required for subcutaneous administration, where anisotropic molecular shape, conformational flexibility, and highly specific protein−protein interactions give rise to complex collective behavior that cannot be fully understood from macroscopic measurements alone. Many aspects of mAb solution behavior can be interpreted within the broader framework of colloid physics. This theoretical tool is useful to predict the diffusion of proteins in a crowded environment. However, the molecular architecture of antibodies challenges classical descriptions of crowded protein solutions. Experimental methods capable of probing molecular dynamics over multiple time and length scales are therefore essential for establishing quantitative relationships between intermolecular interactions and formulation properties. Among these, scattering techniques provide label-free access to both structural and dynamical correlations in solution. Recent advances in neutron and X-ray scattering, complemented by light scattering, molecular simulations, and theoretical modeling, have considerably expanded our understanding of antibody diffusion, transient clustering, reversible self-association, and the microscopic origins of high solution viscosity. This review places recent advances in the biophysics of monoclonal antibody solutions within the broader context of protein and colloidal systems, with particular emphasis on scattering methodsand especially neutron spectroscopyas probes of molecular dynamics. By combining concepts from colloid physics with modern scattering approaches, we discuss how microscopic structural and dynamical information can be linked to the macroscopic behavior of antibody formulations, providing a physical framework for the rational design, optimization and development of next-generation biopharmaceuticals.
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Mosca et al. (2026) studied this question.
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