人工智能助力口服制剂开发的研究进展
Research Progress of Artificial Intelligence-assisted Development in Oral Formulations
赵璐卓 1王建新 1盛剑勇1
作者信息
- 1. 复旦大学药学院药剂学系,智能化递药教育部及全军重点实验室(复旦大学),上海 201203
- 折叠
摘要
口服是目前最常用的给药途径.口服制剂的处方和制备工艺通过合理设计和优化,可以起到对药物的增溶、缓控释等效果,从而实现提高口服生物利用度、增效、减毒或个性化给药.然而,目前药物制剂的处方和制备工艺优化仍高度依赖于传统的试错试验和经验数据,既耗时、费力、成本高,又难以预测.近年来蓬勃发展的人工智能技术有望实现口服制剂处方的高效、系统设计.基于已有的口服制剂实验数据,通过人工智能建立预测模型,可达到预测口服制剂相关指标和优化口服制剂处方和工艺参数的目的.文章总结了人工智能辅助口服制剂开发的基本原理和应用,对人工智能在口服制剂领域的应用前景进行探讨和展望,为人工智能进一步加速药物制剂研发提供参考.
Abstract
Oral administration is by far the most commonly used route of drug administration.Through the rational design and optimization of oral formulations and their preparation processes,increase of solubility,sustained-and controlled-release of drugs can be achieved,resulting in improved oral bioavailability,enhanced efficacy,reduced toxicity or personalized drug delivery.However,the current formulation and preparation process optimization of oral formulations is still highly dependent on traditional trial-and-error experiments and empirical data,which is time-consuming,laborious,costly,and hardly predictable.Artificial intelligence(AI)technology,which has flourished in recent years,is expected to enable efficient and systematic design of oral formulations.Based on the existing experimental data for oral preparations,a prediction model can be established through AI to predict the relevant indicators of oral preparations and optimize the process parameters of oral preparations.This review summarizes the basic principles and applications of AI-assisted development in oral formulations,discusses and offers prospects on the applications of AI in the field of oral formulations,and provides a reference for accelerating further research and development of pharmaceutical preparations with AI technology.
关键词
人工智能/机器学习/药物制剂/口服制剂/处方设计/预测/研究进展Key words
artificial intelligence/machine learning/pharmaceuticals/oral formulation/formulation design/prediction/research progress引用本文复制引用
出版年
2024
NETL
NSTL
万方数据