Literature DB >> 31146525

X-ray Scattering and Coarse-Grained Simulations for Clustering and Interactions of Monoclonal Antibodies at High Concentrations.

Barton J Dear1, Jonathan A Bollinger1,2, Amjad Chowdhury1, Jessica J Hung1, Logan R Wilks1, Carl A Karouta1, Kishan Ramachandran1, Tony Y Shay1, Maria P Nieto1, Ayush Sharma1, Jason K Cheung3, Dmytro Nykypanchuk4, P Douglas Godfrin5, Keith P Johnston1, Thomas M Truskett1,6.   

Abstract

Attractive protein?protein interactions (PPI) in concentrated monoclonal antibody (mAb) solutions may lead to reversible oligomers (clusters) that impact colloidal stability and viscosity. Herein, the PPI are tuned for two mAbs via the addition of arginine (Arg), NaCl, or ZnSO4 as characterized by the structure factor ( Seff( q)) with small-angle X-ray scattering (SAXS). The SAXS data are fit with molecular dynamics simulations by placing a physically relevant short-range attractive interaction on selected beads in coarse-grained 12-bead models of the mAb shape. The optimized 12-bead models are then used to differentiate key microstructural properties, including center of mass radial distribution functions ( gCOM( r)), coordination numbers, and cluster size distributions (CSD). The addition of cosolutes results in more attractive Seff( q) relative to the no cosolute control for all systems tested, with the most attractive systems showing an upturn at low q. Only the All1 model with an attractive site in each Fab and Fc region (possessing Fab?Fab, Fab?Fc, and Fc?Fc interactions) can reproduce this upturn, and the corresponding CSDs show the presence of larger clusters compared to the control. In general, for models with similar net attractions, i.e., second osmotic virial coefficients, the size of the clusters increases as the attraction is concentrated on a smaller number of evenly distributed beads. The cluster size distributions from simulations are used to improve the understanding and prediction of experimental viscosities. The ability to discriminate between models with bead interactions at particular Fab and Fc bead sites from SAXS simulations, and to provide real-space properties (CSD and gCOM( r)), will be of interest in engineering protein sequence and formulating protein solutions for weak PPI to minimize aggregation and viscosities.

Entities:  

Year:  2019        PMID: 31146525     DOI: 10.1021/acs.jpcb.9b04478

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  5 in total

1.  Multiscale Coarse-Grained Approach to Investigate Self-Association of Antibodies.

Authors:  Saeed Izadi; Thomas W Patapoff; Benjamin T Walters
Journal:  Biophys J       Date:  2020-04-29       Impact factor: 4.033

2.  Molecular Flexibility of Antibodies Preserved Even in the Dense Phase after Macroscopic Phase Separation.

Authors:  Anita Girelli; Christian Beck; Famke Bäuerle; Olga Matsarskaia; Ralph Maier; Fajun Zhang; Baohu Wu; Christian Lang; Orsolya Czakkel; Tilo Seydel; Frank Schreiber; Felix Roosen-Runge
Journal:  Mol Pharm       Date:  2021-10-12       Impact factor: 4.939

Review 3.  Computational models for studying physical instabilities in high concentration biotherapeutic formulations.

Authors:  Marco A Blanco
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

4.  Effects of Monovalent Salt on Protein-Protein Interactions of Dilute and Concentrated Monoclonal Antibody Formulations.

Authors:  Amy Y Xu; Nicholas J Clark; Joseph Pollastrini; Maribel Espinoza; Hyo-Jin Kim; Sekhar Kanapuram; Bruce Kerwin; Michael J Treuheit; Susan Krueger; Arnold McAuley; Joseph E Curtis
Journal:  Antibodies (Basel)       Date:  2022-03-31

5.  A single molecular descriptor to predict solution behavior of therapeutic antibodies.

Authors:  Jonathan S Kingsbury; Amandeep Saini; Sarah Marie Auclair; Li Fu; Michaela M Lantz; Kevin T Halloran; Cesar Calero-Rubio; Walter Schwenger; Christian Y Airiau; Jifeng Zhang; Yatin R Gokarn
Journal:  Sci Adv       Date:  2020-08-05       Impact factor: 14.136

  5 in total

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