药物发现
新颖性
计算生物学
生物
基因组
数据科学
药物开发
药品
生物信息学
计算机科学
遗传学
基因
神学
药理学
哲学
作者
Franziska Hemmerling,Jörn Piel
标识
DOI:10.1038/s41573-022-00414-6
摘要
Bacteria provide a rich source of natural products with potential therapeutic applications, such as novel antibiotic classes or anticancer drugs. Bioactivity-guided screening of bacterial extracts and characterization of biosynthetic pathways for drug discovery is now complemented by the availability of large (meta)genomic collections, placing researchers into the postgenomic, big-data era. The progress in next-generation sequencing and the rise of powerful computational tools provide unprecedented insights into unexplored taxa, ecological niches and ‘biosynthetic dark matter’, revealing diverse and chemically distinct natural products in previously unstudied bacteria. In this Review, we discuss such sources of new chemical entities and the implications for drug discovery with a particular focus on the strategies that have emerged in recent years to identify and access novelty.
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