在2025年利用PubChem和其他公共数据库进行虚拟选:最新趋势是什么?
Alberto Marbán-González1, Verónica Ramírez-Cid1, Alejandro Cristóbal-Ramírez1
1DIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Expert opinion on drug discovery
|September 5, 2025
概括
这篇评论探讨了最近挖掘公共数据库的趋势, 它突出了计算策略, 探索广的化学空间,
科学领域:
- 化学信息学
- 药物发现
- 计算化学
背景情况:
- 化学信息学对于药物发现中的大型化学和生物数据集的管理和分析至关重要.
- 公共数据库 (PubChem,ZINC,ChEMBL,DrugBank) 是各种化学结构和生物活动的重要资源.
研究的目的:
- 审查最近 (2024-2025) 从公共数据库进行虚拟选的数据挖掘趋势.
- 讨论实验验证和计算工具在药物设计中的整合.
- 在药物发现过程中,
主要方法:
- 在SciFinder上检索文献.
- 分析PubChem和其他公共数据库的数据挖掘趋势.
- 计算策略的审查,包括API,相似性搜索和物理化学过.
主要成果:
- 有效的计算策略对于在公共数据库中导航数十亿个化合物至关重要.
- 过策略可以提取聚焦的复合子集进行评估.
- 计算工具和实验验证的整合支持药物发现的知情决策.
结论:
- 公共化学数据库对于现代药物发现是不可或缺的.
- 先进的化学信息学工具和过策略是有效的发现和优化的关键.
- 计算方法和实验验证之间的协同作用加快了药物设计过程.
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