Literature DB >> 35983303

Use of Debye-Hückel-Henry charge measurements in early antibody development elucidates effects of non-specific association.

Joshua R Laber1, Thomas M Laue2, Dana I Filoti3.   

Abstract

The diffusion interaction parameter (kD ) has been demonstrated to be a high-throughput technique for characterizing interactions between proteins in solution. kD reflects both attractive and repulsive interactions, including long-ranged electrostatic repulsions. Here, we plot the mutual diffusion coefficient (Dm ) as a function of the experimentally determined Debye-Hückel-Henry surface charge (ZDHH ) for seven human monoclonal antibodies (mAbs) in 15 mM histidine at pH 6. We find that graphs of Dm versus ZDHH intersect at ZDHH, ~ 2.6, independent of protein concentration. The same data plotted as kD versus ZDHH show a transition from net attractive to net repulsive interactions in the same region of the ZDHH intersection point. These data suggest that there is a minimum surface charge necessary on these mAbs needed to overcome attractive interactions.
© The Author(s) 2022. Published by Oxford University Press on behalf of Antibody Therapeutics. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  antibody developability; colloidal interactions; diffusion interaction parameter; dynamic light scattering; surface charge

Year:  2022        PMID: 35983303      PMCID: PMC9380711          DOI: 10.1093/abt/tbac018

Source DB:  PubMed          Journal:  Antib Ther        ISSN: 2516-4236


  26 in total

1.  Correlation between the osmotic second virial coefficient and the solubility of proteins.

Authors:  S Ruppert; S I Sandler; A M Lenhoff
Journal:  Biotechnol Prog       Date:  2001 Jan-Feb

2.  The influence of charge distribution on self-association and viscosity behavior of monoclonal antibody solutions.

Authors:  Sandeep Yadav; Thomas M Laue; Devendra S Kalonia; Shubhadra N Singh; Steven J Shire
Journal:  Mol Pharm       Date:  2012-03-19       Impact factor: 4.939

3.  Factors affecting the viscosity in high concentration solutions of different monoclonal antibodies.

Authors:  Sandeep Yadav; Steven J Shire; Devendra S Kalonia
Journal:  J Pharm Sci       Date:  2010-12       Impact factor: 3.534

4.  Protein interactions in solution characterized by light and neutron scattering: comparison of lysozyme and chymotrypsinogen.

Authors:  O D Velev; E W Kaler; A M Lenhoff
Journal:  Biophys J       Date:  1998-12       Impact factor: 4.033

5.  Viscosity analysis of high concentration bovine serum albumin aqueous solutions.

Authors:  Sandeep Yadav; Steven J Shire; Devendra S Kalonia
Journal:  Pharm Res       Date:  2011-04-14       Impact factor: 4.200

Review 6.  Comparative study of analytical techniques for determining protein charge.

Authors:  Dana I Filoti; Steven J Shire; Sandeep Yadav; Thomas M Laue
Journal:  J Pharm Sci       Date:  2015-04-24       Impact factor: 3.534

7.  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

8.  Weak Fragment Crystallizable (Fc) Domain Interactions Drive the Dynamic Assembly of IgG Oligomers upon Antigen Recognition.

Authors:  Jürgen Strasser; Rob N de Jong; Frank J Beurskens; Janine Schuurman; Paul W H I Parren; Peter Hinterdorfer; Johannes Preiner
Journal:  ACS Nano       Date:  2020-01-08       Impact factor: 15.881

Review 9.  The Molecular Interaction Process.

Authors:  Thomas M Laue; Steven J Shire
Journal:  J Pharm Sci       Date:  2019-10-30       Impact factor: 3.534

10.  Charge Shielding Prevents Aggregation of Supercharged GFP Variants at High Protein Concentration.

Authors:  Joshua R Laber; Barton J Dear; Matheus L Martins; Devin E Jackson; Andrea DiVenere; Jimmy D Gollihar; Andrew D Ellington; Thomas M Truskett; Keith P Johnston; Jennifer A Maynard
Journal:  Mol Pharm       Date:  2017-09-18       Impact factor: 4.939

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