在成功的小分子药物发现中出现"自然选择"
A Lina Heinzke1, Axel Pahl2, Barbara Zdrazil1
1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, Cambridgeshire, U.K.
Journal of medicinal chemistry
|July 1, 2024
概括
药物发现表明"自然选择",因为合成化合物模仿自然. 伪天然产品 (PNPs) 在临床药物中越来越常见,这表明大自然的设计原则是成功开发药物的关键.
科学领域:
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
- 计算化学计算化学
背景情况:
- 自然产品 (NPs) 从历史上来看一直是毒品线索的丰富来源.
- 药物目标日益复杂,需要新的化学物质.
- 了解药物设计的趋势可以为未来的发现工作提供信息.
研究的目的:
- 为了调查证据的证据.
- 自然选择自然选择
- 在使用ChEMBL数据库化合物的药物发现中.
- 为了比较临床化合物与背景参考化合物的天然产品 (NP) 特性.
- 评估伪天然产品 (PNP) 在药物开发中的流行程度和影响.
主要方法:
- 使用ChEMBL版本32用于复合数据.
- 应用了三种NP特征的测量方法来比较临床和参考化合物.
- 根据披露日期和目标类别分析的化合物.
- 量化了临床化合物中NP碎片的比例和频率.
主要成果:
- 伪天然产品 (PNP),不自然地结合NP片段,占2010年以来披露的临床化合物的67%.
- 2008年后的临床化合物比参考化合物更有可能成为PNP的可能性高54%.
- 大多数目标类在临床化合物与参考化合物之间显示了增加的NP特征.
- 一个由176个NP片段组成的小组构成了自2008年以来发表的1000多种临床化合物的核心架构 (平均63%的架构).
结论:
- 这些发现表明某种形式的
- 自然选择自然选择
- 在药物发现中偏好NP类结构.
- 在利用大自然的构建块 ("自然智能") 进行药物设计方面,存在着巨大的未开发潜力.
- 专注于NP片段可以提高药物开发的效率和成功率.
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