化学信息学
可扩展性
代谢组学
限制
计算机科学
数据科学
天然产物
领域(数学)
计算生物学
自然(考古学)
产品(数学)
光学(聚焦)
范围(计算机科学)
生化工程
自然计算
药物发现
期限(时间)
人工智能
钥匙(锁)
作者
Adriano Rutz,Wout Bittremieux,Robin Schmid,Olivier Cailloux,Justin J. J. van der Hooft,Mehdi A. Beniddir
摘要
Covering: up to 2025This review explores the potential of bioinformatics and chemoinformatics tools to advance the exploration of natural extracts libraries (NELs). Although metabolomics has become a term used routinely in natural product (NP) research, the field remains focused on individual molecules or small sets of compounds, which restricts scalability. This narrow focus is mirrored in the computational handling of generated data, limiting broader insights. By challenging the traditional molecule-first paradigm-a framework historically shaped by practical constraints-we present our vision of using computational approaches to unlock the full potential of NELs, now and in the future.
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