Shuling Pan’s research while affiliated with University of Freiburg and other places

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Publications (1)


StreptomeDB 4.0: a comprehensive database of streptomycetes natural products enriched with protein interactions and interactive spectral visualization
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November 2024

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1 Citation

Nucleic Acids Research

Yue Feng

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Streptomycetes remain an important bacterial source of natural products (NPs) with significant therapeutic promise, particularly in the fight against antimicrobial resistance. Herein, we present StreptomeDB 4.0, a substantial update of the database that includes expanded content and several new features. Currently, StreptomeDB 4.0 contains over 8500 NPs originating from ∼3900 streptomycetes, manually annotated from ∼7600 PubMed-indexed peer-reviewed articles. The database was enhanced by two in-house developments: (i) automated literature-mined NP-protein relationships (hyperlinked to the CPRiL web server) and (ii) pharmacophore-based NP-protein interactions (predicted with the ePharmaLib dataset). Moreover, genome mining was supplemented through hyperlinks to the widely used antiSMASH database. To facilitate NP structural dereplication, interactive visualization tools were implemented, namely the JSpecView applet and plotly.js charting library for predicted nuclear magnetic resonance and mass spectrometry spectral data, respectively. Furthermore, both the backend database and the frontend web interface were redesigned, and several software packages, including PostgreSQL and Django, were updated to the latest versions. Overall, this comprehensive database serves as a vital resource for researchers seeking to delve into the metabolic intricacies of streptomycetes and discover novel therapeutics, notably antimicrobial agents. StreptomeDB is publicly accessible at https://www.pharmbioinf.uni-freiburg.de/streptomedb.

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Citations (1)


... Genome mining involves exploring microbial genomes to identify potential compounds, while antiSMASH supports this exploration through efficient and automated means. Together, these approaches significantly advance the discovery and understanding of new secondary metabolites [43][44][45]. In this study, we performed a comprehensive genome analysis and an antiSMASH analysis of Lentzea sp. ...

Reference:

Taxonomic Identification, Complete Genome Sequencing, and In Silico Genome Mining of the Actinobacterium Lentzea sp. JNUCC 0626 Isolated from Jeju Gotjawal
StreptomeDB 4.0: a comprehensive database of streptomycetes natural products enriched with protein interactions and interactive spectral visualization

Nucleic Acids Research