Suppr超能文献

基因组时代的天然产物药物发现:现实、推测、误解和机遇。

Natural product drug discovery in the genomic era: realities, conjectures, misconceptions, and opportunities.

机构信息

CognoGen Biotechnology Consulting, 7636 Andora Drive, Sarasota, FL, 34238, USA.

出版信息

J Ind Microbiol Biotechnol. 2019 Mar;46(3-4):281-299. doi: 10.1007/s10295-018-2115-4. Epub 2018 Nov 27.

Abstract

Natural product discovery from microorganisms provided important sources for antibiotics, anti-cancer agents, immune-modulators, anthelminthic agents, and insecticides during a span of 50 years starting in the 1940s, then became less productive because of rediscovery issues, low throughput, and lack of relevant new technologies to unveil less abundant or not easily detected drug-like natural products. In the early 2000s, it was observed from genome sequencing that Streptomyces species encode about ten times as many secondary metabolites as predicted from known secondary metabolomes. This gave rise to a new discovery approach-microbial genome mining. As the cost of genome sequencing dropped, the numbers of sequenced bacteria, fungi and archaea expanded dramatically, and bioinformatic methods were developed to rapidly scan whole genomes for the numbers, types, and novelty of secondary metabolite biosynthetic gene clusters. This methodology enabled the identification of microbial taxa gifted for the biosynthesis of drug-like secondary metabolites. As genome sequencing technology progressed, the realities relevant to drug discovery have emerged, the conjectures and misconceptions have been clarified, and opportunities to reinvigorate microbial drug discovery have crystallized. This perspective addresses these critical issues for drug discovery.

摘要

从微生物中发现天然产物为抗生素、抗癌药物、免疫调节剂、驱虫剂和杀虫剂提供了重要来源,这一时期始于 20 世纪 40 年代,持续了 50 年,但由于重复发现、高通量低以及缺乏相关新技术等问题,发现的天然产物数量减少,难以发现不太丰富或不易检测到的具有药物特性的天然产物。在 21 世纪初,从基因组测序中观察到链霉菌属的物种编码的次级代谢产物数量是从已知次级代谢物组预测的十倍。这就产生了一种新的发现方法——微生物基因组挖掘。随着基因组测序成本的降低,测序的细菌、真菌和古菌数量急剧增加,并且开发了生物信息学方法来快速扫描整个基因组中次级代谢物生物合成基因簇的数量、类型和新颖性。这种方法能够鉴定出具有合成具有药物特性的次级代谢产物能力的微生物类群。随着基因组测序技术的进步,与药物发现相关的现实情况已经显现,各种推测和误解已经得到澄清,微生物药物发现的机会也已经出现。本文从这些方面探讨了药物发现的关键问题。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验