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This review details microbial natural product databases from 2010-2020, highlighting their role in data sharing and analysis. It addresses challenges and proposes action points for advancing natural product discovery through improved database interoperability.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Cheminformatics

Background:

  • The digital revolution and advancements in linked data, machine learning, and network inference are transforming natural products research.
  • Databases are crucial for systematic annotation, storage, and analysis of digitized experimental data in natural product discovery.
  • The quality, structure, and accessibility of databases significantly impact their utility for the scientific community.

Purpose of the Study:

  • To review the development of databases relevant to microbial natural product discovery between 2010 and 2020.
  • To provide an overview of key databases, their functionalities, and early meta-analyses.
  • To discuss principles for database interoperability, challenges in data curation and usage, and future action points.

Main Methods:

  • Literature review of databases and publications from 2010-2020.
  • Analysis of database functionalities for chemical structures, properties, metabolomics, and genomic data (biosynthetic gene clusters).
  • Discussion of interoperability principles, data curation challenges, and future directions.

Main Results:

  • Identification and overview of significant databases for microbial natural product discovery (2010-2020).
  • Highlighting early meta-analyses utilizing these databases.
  • Discussion of conceptual and practical challenges in database curation and usage.

Conclusions:

  • Improved database interoperability and data quality are essential for advancing microbial natural product discovery.
  • Addressing challenges in data curation and promoting widespread adoption of interoperability principles are key action points.
  • Collaboration between database developers and scientists is crucial for the future of the field.