机器可读的结构信息对于自然产品研究至关重要
Karin Steffen1, Nicholas H Oberlies2, Antonis Rokas1
1Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee 37235, United States.
Journal of natural products
|October 20, 2025
概括
发布新的天然产品的机器可读的文本描述器可以改善数据共享. 这种简单的解决方案解决了获得二次代谢物大数据的挑战,促进了科学合作和再利用.
科学领域:
- 自然产品 化学 化学
- 化学信息学 化学信息学
- 科学数据管理科学数据管理
背景情况:
- 二次代谢物的结构图包含有价值的化学信息.
- 目前的静态格式限制了分享和重复使用这些关键的自然产品数据.
- 研究中对综合性自然产品"大数据"的日益增长的需求无法通过现有的数据格式得到满足.
研究的目的:
- 讨论与共享和访问二次代谢物结构数据相关的挑战.
- 提出一个简单的解决方案,以提高这些数据的可访问性和可重复使用性.
- 倡导在天然产品研究中采用机器可读描述符.
主要方法:
- 分析目前在共享化学结构信息方面的局限性.
- 建议出版新的二次代谢物机器可读的文本描述.
- 对作者和出版商实施可行性的讨论.
主要成果:
- 在目前共享二次代谢物结构数据的方法中发现了重大障碍.
- 建议机器可读的文本描述器作为克服这些障碍的实际解决方案.
- 通过改善数据可访问性,突出了通过自然产品研究获得的价值增加潜力.
结论:
- 实施新的二次代谢物的机器可读描述符是一个简单而有效的解决方案.
- 这种方法与数据共享的科学规范保持一致,并促进"大数据"范式.
- 采用这种方法将增强自然化学研究的价值和影响.
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