Login / Signup

A Colloid Approach to Self-Assembling Antibodies.

Nicholas Skar-GislingeMichela RontiTommy GartingChristian RischelPeter SchurtenbergerEmanuela ZaccarelliAnna Stradner
Published in: Molecular pharmaceutics (2019)
Concentrated solutions of monoclonal antibodies have attracted considerable attention due to their importance in pharmaceutical formulations; yet, their tendency to aggregate and the resulting high viscosity pose considerable problems. Here we tackle this problem by a soft condensed matter physics approach, which combines a variety of experimental measurements with a patchy colloid model, amenable of analytical solution. We thus report results of structural antibodies and dynamic properties obtained through scattering methods and microrheological experiments. We model the data using a colloid-inspired approach, explicitly taking into account both the anisotropic shape of the molecule and its charge distribution. Our simple patchy model is able to disentangle self-assembly and intermolecular interactions and to quantitatively describe the concentration-dependence of the osmotic compressibility, collective diffusion coefficient, and zero shear viscosity. Our results offer new insights on the key problem of antibody formulations, providing a theoretical and experimental framework for a quantitative assessment of the effects of additional excipients or chemical modifications and a prediction of the resulting viscosity.
Keyphrases
  • mental health
  • magnetic resonance
  • mass spectrometry
  • working memory
  • deep learning
  • computed tomography
  • data analysis