Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Hermann-Herder-Straße 9, D-79104 Freiburg, Germany.
Department of Organic Chemistry, University of Yaoundé I, P. O. Box 812, Yaoundé, Cameroon.
Nucleic Acids Res. 2021 Jan 8;49(D1):D600-D604. doi: 10.1093/nar/gkaa868.
Antimicrobial resistance is an emerging global health threat necessitating the rapid development of novel antimicrobials. Remarkably, the vast majority of currently available antibiotics are natural products (NPs) isolated from streptomycetes, soil-dwelling bacteria of the genus Streptomyces. However, there is still a huge reservoir of streptomycetes NPs which remains pharmaceutically untapped and a compendium thereof could serve as a source of inspiration for the rational design of novel antibiotics. Initially released in 2012, StreptomeDB (http://www.pharmbioinf.uni-freiburg.de/streptomedb) is the first and only public online database that enables the interactive phylogenetic exploration of streptomycetes and their isolated or mutasynthesized NPs. In this third release, there are substantial improvements over its forerunners, especially in terms of data content. For instance, about 2500 unique NPs were newly annotated through manual curation of about 1300 PubMed-indexed articles, published in the last five years since the second release. To increase interoperability, StreptomeDB entries were hyperlinked to several spectral, (bio)chemical and chemical vendor databases, and also to a genome-based NP prediction server. Moreover, predicted pharmacokinetic and toxicity profiles were added. Lastly, some recent real-world use cases of StreptomeDB are highlighted, to illustrate its applicability in life sciences.
抗菌药物耐药性是一种新出现的全球健康威胁，需要迅速开发新型抗菌药物。值得注意的是，目前绝大多数可用的抗生素都是从链霉菌中分离出来的天然产物（NPs）。然而，仍有大量的链霉菌 NPs 尚未被开发利用，如果对其进行编目，将为新型抗生素的合理设计提供灵感来源。StreptomeDB（http://www.pharmbioinf.uni-freiburg.de/streptomedb）于 2012 年首次发布，是第一个也是唯一一个公共在线数据库，可实现链霉菌及其分离或突变合成 NPs 的交互式系统发育探索。在第三个版本中，与前几个版本相比，它有了很大的改进，特别是在数据内容方面。例如，通过对过去五年中约 1300 篇已发表的在 PubMed 索引文章的手动注释，新增了约 2500 个独特的 NPs。为了提高互操作性，StreptomeDB 条目与几个光谱、（生物）化学和化学供应商数据库以及基于基因组的 NP 预测服务器进行了超链接。此外，还添加了预测的药代动力学和毒性特征。最后，突出了 StreptomeDB 的一些最近的实际应用案例，以说明其在生命科学中的适用性。
