想象和分析天然产品数据库的化学空间,用于药物发现
Haruna Luz Barazorda-Ccahuana1, K Eurídice Juárez-Mercado2, José L Medina-Franco2
1Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María.
Journal of visualized experiments : JoVE
|September 23, 2024
概括
化学信息学工具有助于探索天然产品的化学空间,用于药物发现. 这些计算方法可视化,描述和扩展分子数据集,加速新药的识别.
科学领域:
- 计算化学和化学信息学
- 自然产品 药物发现 药物发现
- 药品化学 药品化学 是一个
背景情况:
- 广的化学空间 (1x10^60分子<500大) 为药物发现带来了挑战.
- 自然产品是具有历史意义和持续的新药来源.
- 加快天然产品的药物开发管道至关重要.
研究的目的:
- 审查天然产品数据的化学信息学工具的最新进展.
- 为了展示自然化合物化学空间的可视化,特征化和扩展.
- 为了药物发现,研究这些化学空间内的结构-属性关系.
主要方法:
- 利用化学信息学工具进行分子表示和可视化.
- 采用生物活性,安全性,ADME和天然产品相似性估计的方法.
- 评估开源数据库 (BIOFACQUIM,PeruNPDB) 作为概念验证.
主要成果:
- 展示了用于分析和扩大自然产品化学空间的化学信息方法.
- 展示了用于理解分子关系和属性的可视化技术.
- 在自然化合物中为结构性质关系研究提供了一个框架.
结论:
- 化学信息学工具对于导航和利用自然产品化学空间的复杂性至关重要.
- 这些计算方法提高了从自然来源识别候选药物的效率.
- 像BIOFACQUIM和PeruNPDB这样的开源数据库是药物发现研究的宝贵资源.
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