天然产物
原型
自然(考古学)
产品(数学)
计算生物学
生物
计算机科学
生物化学
哲学
数学
古生物学
几何学
神学
作者
Chad W. Johnston,Alex D. Connaty,Michael A. Skinnider,Yong Li,Alyssa L. Grunwald,Morgan A. Wyatt,Russell G. Kerr
出处
期刊:Journal of Industrial Microbiology & Biotechnology
[Oxford University Press]
日期:2016-03-01
卷期号:43 (2-3): 293-298
被引量:8
标识
DOI:10.1007/s10295-015-1675-9
摘要
Natural products are a crucial source of antimicrobial agents, but reliance on low-resolution bioactivity-guided approaches has led to diminishing interest in discovery programmes. Here, we demonstrate that two in-house automated informatic platforms can be used to target classes of biologically active natural products, specifically, peptaibols. We demonstrate that mass spectrometry-based informatic approaches can be used to detect natural products with high sensitivity, identifying desired agents present in complex microbial extracts. Using our specialised software packages, we could elaborate specific branches of chemical space, uncovering new variants of trichopolyn and demonstrating a way forward in mining natural products as a valuable source of potential pharmaceutical agents.
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