生物信息学
生化工程
计算机科学
药物开发
药品
风险分析(工程)
化学
药理学
医学
生物化学
基因
工程类
作者
Jonathan Zarzar,Tarik A. Khan,Maniraj Bhagawati,Benjamin Weiche,Jasmin Sydow-Andersen,Alavattam Sreedhara
出处
期刊:mAbs
[Landes Bioscience]
日期:2023-05-16
卷期号:15 (1)
被引量:8
标识
DOI:10.1080/19420862.2023.2211185
摘要
The growing need for biologics to be administered subcutaneously and ocularly, coupled with certain indications requiring high doses, has resulted in an increase in drug substance (DS) and drug product (DP) protein concentrations. With this increase, more emphasis must be placed on identifying critical physico-chemical liabilities during drug development, including protein aggregation, precipitation, opalescence, particle formation, and high viscosity. Depending on the molecule, liabilities, and administration route, different formulation strategies can be used to overcome these challenges. However, due to the high material requirements, identifying optimal conditions can be slow, costly, and often prevent therapeutics from moving rapidly into the clinic/market. In order to accelerate and derisk development, new experimental and in-silico methods have emerged that can predict high concentration liabilities. Here, we review the challenges in developing high concentration formulations, the advances that have been made in establishing low mass and high-throughput predictive analytics, and advances in in-silico tools and algorithms aimed at identifying risks and understanding high concentration protein behavior.
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