风险分析(工程)
工作流程
计算机科学
药物开发
背景(考古学)
生化工程
利用
生物制药
药品
医学
药理学
工程类
生物技术
生物
计算机安全
古生物学
数据库
作者
Mônica Villa Nova,Kennard Gan,Matthias G. Wacker
标识
DOI:10.1080/17425247.2022.2081682
摘要
Biopredictive release tests are commonly used in the evaluation of oral medicines. They support decision-making in formulation development and allow predictions of the expected in-vivo performances. So far, there is limited experience in the application of these methodologies to injectable drug products.Parenteral drug products cover a variety of dosage forms and administration sites, including subcutaneous, intramuscular, and intravenous injections. In this area, developing biopredictive and biorelevant methodologies often confronts us with unique challenges and knowledge gaps. Here, we provide a formulation-centric approach and explain the key considerations and workflow when designing biopredictive assays. Also, we outline the key role of computational methods in achieving clinical relevance and put all considerations into context using liposomal nanomedicines as an example.Biopredictive tools are the need of the hour to exploit the tremendous opportunities of injectable drug products. A growing number of biopharmaceuticals such as peptides, proteins, and nucleic acids require different strategies and a better understanding of the influences on drug absorption. Here, our design strategy must maintain the balance between robustness and complexity required for effective formulation development.
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