Literature DB >> 25383990

Highly viscous antibody solutions are a consequence of network formation caused by domain-domain electrostatic complementarities: insights from coarse-grained simulations.

Patrick M Buck1, Anuj Chaudhri, Sandeep Kumar, Satish K Singh.   

Abstract

Therapeutic monoclonal antibody (mAb) candidates that form highly viscous solutions at concentrations above 100 mg/mL can lead to challenges in bioprocessing, formulation development, and subcutaneous drug delivery. Earlier studies of mAbs with concentration-dependent high viscosity have indicated that mAbs with negatively charged Fv regions have a dipole-like quality that increases the likelihood of reversible self-association. This suggests that weak electrostatic intermolecular interactions can form transient antibody networks that participate in resistance to solution deformation under shear stress. Here this hypothesis is explored by parametrizing a coarse-grained (CG) model of an antibody using the domain charges from four different mAbs that have had their concentration-dependent viscosity behaviors previously determined. Multicopy molecular dynamics simulations were performed for these four CG mAbs at several concentrations to understand the effect of surface charge on mass diffusivity, pairwise interactions, and electrostatic network formation. Diffusion coefficients computed from simulations were in qualitative agreement with experimentally determined viscosities for all four mAbs. Contact analysis revealed an overall greater number of pairwise interactions for the two mAbs in this study with high concentration viscosity issues. Further, using equilibrated solution trajectories, the two mAbs with high concentration viscosity issues quantitatively formed more features of an electrostatic network than the other mAbs. The change in the number of these network features as a function of concentration is related to the number of pairwise interactions formed by electrostatic complementarities between antibody domains. Thus, transient antibody network formation caused by domain-domain electrostatic complementarities is the most probable origin of high concentration viscosity for mAbs in this study.

Keywords:  coarse-grained simulations; drug development; high concentration; mAb; viscosity

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Year:  2014        PMID: 25383990     DOI: 10.1021/mp500485w

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  20 in total

1.  Computational tool for the early screening of monoclonal antibodies for their viscosities.

Authors:  Neeraj J Agrawal; Bernhard Helk; Sandeep Kumar; Neil Mody; Hasige A Sathish; Hardeep S Samra; Patrick M Buck; Li Li; Bernhardt L Trout
Journal:  MAbs       Date:  2015-09-23       Impact factor: 5.857

Review 2.  Molecular basis of high viscosity in concentrated antibody solutions: Strategies for high concentration drug product development.

Authors:  Dheeraj S Tomar; Sandeep Kumar; Satish K Singh; Sumit Goswami; Li Li
Journal:  MAbs       Date:  2016-01-06       Impact factor: 5.857

Review 3.  Structure, heterogeneity and developability assessment of therapeutic antibodies.

Authors:  Yingda Xu; Dongdong Wang; Bruce Mason; Tony Rossomando; Ning Li; Dingjiang Liu; Jason K Cheung; Wei Xu; Smita Raghava; Amit Katiyar; Christine Nowak; Tao Xiang; Diane D Dong; Joanne Sun; Alain Beck; Hongcheng Liu
Journal:  MAbs       Date:  2018-12-17       Impact factor: 5.857

4.  In-silico prediction of concentration-dependent viscosity curves for monoclonal antibody solutions.

Authors:  Dheeraj S Tomar; Li Li; Matthew P Broulidakis; Nicholas G Luksha; Christopher T Burns; Satish K Singh; Sandeep Kumar
Journal:  MAbs       Date:  2017-01-26       Impact factor: 5.857

5.  Contrasting the Influence of Cationic Amino Acids on the Viscosity and Stability of a Highly Concentrated Monoclonal Antibody.

Authors:  Barton J Dear; Jessica J Hung; Thomas M Truskett; Keith P Johnston
Journal:  Pharm Res       Date:  2016-11-11       Impact factor: 4.200

6.  In Silico Prediction of Diffusion Interaction Parameter (kD), a Key Indicator of Antibody Solution Behaviors.

Authors:  Dheeraj S Tomar; Satish K Singh; Li Li; Matthew P Broulidakis; Sandeep Kumar
Journal:  Pharm Res       Date:  2018-08-20       Impact factor: 4.200

7.  Preferential interactions of trehalose, L-arginine.HCl and sodium chloride with therapeutically relevant IgG1 monoclonal antibodies.

Authors:  Chaitanya Sudrik; Theresa Cloutier; Phuong Pham; Hardeep S Samra; Bernhardt L Trout
Journal:  MAbs       Date:  2017-07-31       Impact factor: 5.857

Review 8.  Next generation antibody drugs: pursuit of the 'high-hanging fruit'.

Authors:  Paul J Carter; Greg A Lazar
Journal:  Nat Rev Drug Discov       Date:  2017-12-01       Impact factor: 84.694

9.  Modeling the depletion effect caused by an addition of polymer to monoclonal antibody solutions.

Authors:  Yu V Kalyuzhnyi; V Vlachy
Journal:  J Phys Condens Matter       Date:  2018-11-12       Impact factor: 2.333

10.  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

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