生物信息学
天然产物
计算生物学
基因簇
药物发现
化学空间
化学
基因
生物
组合化学
生物化学
作者
Andrew C. McAvoy,Neha Garg
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2022-01-01
卷期号:: 273-302
被引量:1
标识
DOI:10.1016/bs.mie.2021.09.012
摘要
Peptidic natural products (PNPs) are valuable sources for drug development as they are often associated with desirable bioactivities. Chemoenzymatic approaches coupled with description of structure-activity relationships have enabled the production of analogs to PNPs such as daptomycin and vancomycin which exhibit optimized bioactivities. The natural promiscuity of biosynthetic enzymes allows the producer organism to generate various analogs potentially serving as multiple hits for one target or to diversify the bioactivity of a given natural product. Thus, approaches that allow rapid discovery of novel peptide natural products by mining their presence in crude extracts while providing insights into promiscuity of biosynthetic enzymes are sought out by natural product biochemists and chemists. In this chapter, we describe how two different molecular networking-based approaches combined with in silico tools can be used to dereplicate PNPs from untargeted mass spectrometry data acquired on crude extracts and how to propagate annotations to structurally related molecules. We further describe steps to gain knowledge of enzyme promiscuity by combining molecular networking analysis with gene cluster analysis.
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