Zula, Ales, Zidar, Mitja, Lebar, Blaz, Proj, Matic, Strasek, Nika, Gobec, Stanislav and Milicic, Goran (2022) Discovery of compounds with viscosity-reducing effects on biopharmaceutical formulations with monoclonal antibodies. Computational and structural biotechnology journal, 20. pp. 5420-5429. ISSN 20010370

Abstract

For the development of concentrated monoclonal antibody formulations for subcutaneous administration, the main challenge is the high viscosity of the solutions. To compensate for this, viscosity reducing agents are commonly used as excipients. Here, we applied two computational chemistry approaches to discover new viscosity-reducing agents: fingerprint similarity searching, and physicochemical property filtering. In total, 94 compounds were selected and experimentally evaluated on two model monoclonal antibodies, which led to the discovery of 44 new viscosity-reducing agents. Analysis of the results showed that using a simple filter that selects only compounds with three or more charge groups is a good ‘rule of thumb’ for selecting potential viscosity-reducing agents for two model monoclonal antibody formulations.

Item Type:	Article
Keywords:	Viscosity, Protein formulations, Biopharmaceuticals, Viscosity-reducing agents, Computational screening
Date Deposited:	21 Oct 2022 00:45
Last Modified:	21 Oct 2022 00:45
URI:	https://oak.novartis.com/id/eprint/47750