Your browser doesn't support javascript.
loading
Characterizing Protein-Protein Interactions and Viscosity of a Monoclonal Antibody from Low to High Concentration Using Small-Angle X-ray Scattering and Molecular Dynamics Simulations.
Chowdhury, Amjad A; Manohar, Neha; Lanzaro, Alfredo; Kimball, William D; Witek, Marta A; Woldeyes, Mahlet A; Majumdar, Ranajoy; Qian, Ken K; Xu, Shifeng; Gillilan, Richard E; Huang, Qingqiu; Truskett, Thomas M; Johnston, Keith P.
Afiliação
  • Chowdhury AA; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Manohar N; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Lanzaro A; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Kimball WD; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Witek MA; Eli Lilly and Company, Indianapolis, Indiana 46225, United States.
  • Woldeyes MA; Eli Lilly and Company, Indianapolis, Indiana 46225, United States.
  • Majumdar R; Eli Lilly and Company, Indianapolis, Indiana 46225, United States.
  • Qian KK; Eli Lilly and Company, Indianapolis, Indiana 46225, United States.
  • Xu S; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Gillilan RE; Center for High Energy X-ray Sciences at CHESS, Cornell University, Ithaca, New York 14853, United States.
  • Huang Q; Center for High Energy X-ray Sciences at CHESS, Cornell University, Ithaca, New York 14853, United States.
  • Truskett TM; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Johnston KP; Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States.
Mol Pharm ; 20(11): 5563-5578, 2023 11 06.
Article em En | MEDLINE | ID: mdl-37782765
Understanding protein-protein interactions and formation of reversible oligomers (clusters) in concentrated monoclonal antibody (mAb) solutions is necessary for designing stable, low viscosity (η) concentrated formulations for processing and subcutaneous injection. Here we characterize the strength (K) of short-range anisotropic attractions (SRA) for 75-200 mg/mL mAb2 solutions at different pH and cosolute conditions by analyzing structure factors (Seff(q)) from small-angle X-ray scattering (SAXS) using coarse-grained molecular dynamics simulations. Best fit simulations additionally provide cluster size distributions, fractal dimensions, cluster occluded volume, and mAb coordination numbers. These equilibrium properties are utilized in a model to account for increases in viscosity caused by occluded volume in the clusters (packing effects) and dissipation of stress across lubricated fractal clusters. Seff(q) is highly sensitive to K at 75 mg/mL where mAbs can mutually align to form SRA contacts but becomes less sensitive at 200 mg/mL as steric repulsion due to packing becomes dominant. In contrast, η at 200 mg/mL is highly sensitive to SRA and the average cluster size from SAXS/simulation, which is observed to track the cluster relaxation time from shear thinning. By analyzing the distribution of sub-bead hot spots on the 3D mAb surface, we identify a strongly attractive hydrophobic patch in the complementarity determining region (CDR) at pH 4.5 that contributes to the high K and consequently large cluster sizes and high η. Adding NaCl screens electrostatic interactions and increases the impact of hydrophobic attraction on cluster size and raises η, whereas nonspecific binding of Arg attenuates all SRA, reducing η. The hydrophobic patch is absent at higher pH values, leading to smaller K, smaller clusters, and lower η. This work constitutes a first attempt to use SAXS and CG modeling to link both structural and rheological properties of concentrated mAb solutions to the energetics of specific hydrophobic patches on mAb surfaces. As such, our work opens an avenue for future research, including the possibility of designing coarse-grained models with physically meaningful interacting hot spots.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Anticorpos Monoclonais Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Anticorpos Monoclonais Idioma: En Ano de publicação: 2023 Tipo de documento: Article