建立批准药物的药物信息库:支持药物产品开发的数据库
Jack D Murray1, Harriet Bennett-Lenane1, Patrick J O'Dwyer1
1School of Pharmacy, University College Cork, College Road, Cork T12 K8AF, Ireland.
Molecular pharmaceutics
|December 20, 2024
概括
从监管数据创建了一个新的机器可读药物产品数据库,以帮助口服药物的开发. 这个资源有助于评估药物相似性,选择辅助剂,并预测口服吸收,加速药物发现.
科学领域:
- 制药科学 制药科学
- 计算化学的计算化学
- 药物开发 药物开发
背景情况:
- 先进的预测建模对于药物开发创新至关重要.
- 缺乏统一的,机器可读的药物产品库,用于配方和性能.
- 简化口服药的开发需要更好的数据整合.
研究的目的:
- 提出一种可复制的方法来管理药物产品数据库.
- 探索数据库在口腔药物开发中的实用性.
- 评估监管数据对药物开发任务的可建模性.
主要方法:
- 程序式检索欧洲药品署产品信息文件的小分子药物.
- 文字处理以提取配方,剂量和药理动力学数据.
- 通过自动链接到外部数据库集成化学和生物活性数据.
主要成果:
- 现有的药物相似性过器 (例如,五项规则) 无法充分代表销售的口服药物.
- 协会规则学习确定了成功的辅助剂组合,用于药片配方.
- 吸收口服分量的预测模型,基于监管数据构建,显示可接受的性能 (平衡精度测试=0.725).
结论:
- 一个链接的药物产品数据库显著加快了临床翻译.
- 监管数据可用于早期分子优先级的建模.
- 确保监管数据的准确性和完整性对于未来的进展至关重要.
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