微循环:一个集成和自动化的平台,以加速药物发现
Cara E Brocklehurst1, Eva Altmann1, Corentin Bon1
1Global Discovery Chemistry, Novartis Biomedical Research, Novartis Pharma AG, Basel 4033, Switzerland.
Journal of medicinal chemistry
|January 25, 2024
概括
这项研究引入了一个模块化平台,用于使用微观化学和自动化快速发现药物. 它有效地产生高质量的化合物和数据,加速新药的优化过程.
科学领域:
- 药用化学 医学化学
- 化学生物学 化学生物学
- 药物发现 药物发现 药物发现
背景情况:
- 传统的药物发现通常是耗时的,需要大量的化学物质.
- 整合先进技术可以简化识别和优化候选药物的过程.
研究的目的:
- 开发和应用一个模块化技术平台,以加速药物发现.
- 为了快速获取高质量的化学物质,以生物分析的形式进行测试.
- 整合积极学习模型,用于化学和财产空间的多参数探索.
主要方法:
- 利用基于板块的微量化工学,自动化净化和机器人液体处理.
- 重新定位现有的高通量测试技术,用于全面的数据生成.
- 采用积极学习模型,通过多参数探索来推动复合优化.
主要成果:
- 快速获取高质量的化学物质,适合进行测试.
- 平台通过尽量减少化学品消耗来证明效率和遵守绿色化学原则.
- 生成了每个学习周期中化合物相关数据的完整包,使知识生成成为可能.
结论:
- 开发的模块化平台显著加速了药物发现中的化合物优化过程.
- 这项技术能够在前所未有的时间框架内为药物发现项目产生知识.
- 该平台的效率和绿色化学方法为制药研究提供了可持续的解决方案.
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