计算机建模在口服缓控释片体外释放曲线预测中的应用
Computer modeling:prediction of the release curve of oral sustained-release tablets
陈潇 1郑海花 2潘新彤 1向柏 1潘振华 1党云洁1
作者信息
- 1. 河北医科大学药学院,河北石家庄 050017
- 2. 河北医科大学药学院,河北石家庄 050017;河北医科大学第二医院,河北石家庄 050000
- 折叠
摘要
缓控释制剂是能降低药物毒副作用、提高患者依从性和增强疗效的理想制剂,其中口服缓控释片的应用最为广泛.制剂体外释放与药物的体内吸收密切相关,然而目前的体外释放实验均为劳动密集型和破坏性的,大数据的缺乏也导致难以建立良好的体内外相关性.计算机建模作为一种可将客观原理转化为数学模型的技术手段,在数据预测方面有很大的前景.本综述探讨了可用于口服缓控释片体外释放曲线预测的计算机建模手段,并进一步讨论了可提高模型准确度的辅助技术,为药物的开发提供了新的思路.
Abstract
Sustained and controlled release preparation is ideal for reducing the side effects of drugs,improving patient compliance and enhancing efficacy,among which oral sustained-release tablets are the most widely used.The in vitro release of the preparation is closely related to the in vivo absorption of the drug.However,current in vitro release experiments are labor-intensive and destructive,and the lack of big data also makes it difficult to establish good in vivo and in vitro correlations.Computer modeling,as a technical means that can transform objective principles into mathematical models,has great prospects in data prediction.This review explores the existing computer modeling methods that can be used to predict in vitro release profiles of oral sustained-release tablets,and further discusses auxiliary technologies that can improve the accuracy of the models,providing new ideas for drug development.
关键词
口服缓控释片/计算机建模/体外释放曲线/数学建模/机器学习Key words
oral sustained-release tablet/computer modeling/in vitro release curve/mathematical modeling/machine learning引用本文复制引用
基金项目
国家自然科学基金资助项目(81973251)
河北省自然科学基金资助项目(H2020206610)
河北省教育厅引进留学人才项目(C20220345)
出版年
2024
NETL
NSTL
万方数据