• Medientyp: E-Book; Sonderdruck
  • Titel: StreptomeDB 3.0: an updated compendium of streptomycetes natural products
  • Beteiligte: Moumbock, Aurélien F. A. [Verfasser:in]; Gao, Mingjie [Verfasser:in]; Qaseem, Ammar [Verfasser:in]; Li, Jianyu [Verfasser:in]; Kirchner, Pascal A. [Verfasser:in]; Ndingkokhar, Bakoh [Verfasser:in]; Bekono, Boris D. [Verfasser:in]; Simoben, Conrad V. [Verfasser:in]; Babiaka, Smith B. [Verfasser:in]; Malange, Yvette I. [Verfasser:in]; Sauter, Florian [Verfasser:in]; Zierep, Paul [Verfasser:in]; Ntie-Kang, Fidele [Verfasser:in]; Günther, Stefan [Verfasser:in]
  • Erschienen: Oxford: Oxford University Press (OUP), 2020
  • Erschienen in: Nucleic acids research ;  (2020), gkaa868
  • Umfang: 1 Online-Ressource (5 Seiten); Illustrationen
  • Sprache: Englisch
  • DOI: 10.1093/nar/gkaa868
  • Identifikator:
  • Schlagwörter: Naturstoff ; Streptomyces ; Arzneimittelforschung
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  • Beschreibung: Abstract: 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
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