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Updated: Dec 2, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
Published on: June 6, 2025
The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes
Kai Blin1, Simon Shaw1, Satria A Kautsar2
1The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby 2800, Denmark.
The antiSMASH database version 3 offers access to over 147,000 biosynthetic gene clusters from microbial genomes. This resource aids in discovering novel natural products for drug development.
Area of Science:
- Microbiology
- Bioinformatics
- Drug Discovery
Background:
- Microbial natural products are crucial for developing pharmaceuticals and agrochemicals.
- Genome mining has become a key strategy for identifying these valuable compounds.
- antiSMASH is a widely-used tool for analyzing microbial genomes for natural product potential.
Purpose of the Study:
- To present version 3 of the antiSMASH database, enhancing access to precomputed biosynthetic gene clusters (BGCs).
- To provide an interactive graphical user interface for querying BGCs from high-quality microbial genomes.
- To facilitate the discovery of novel natural products through accessible genome data.
Main Methods:
- Utilized antiSMASH-5.2 software to identify BGCs in publicly available microbial genomes.
- Compiled and curated a database of BGCs from archaeal, bacterial, and fungal genomes.
- Developed an interactive graphical user interface for database access and querying.
Main Results:
- Version 3 of the antiSMASH database contains 147,517 high-quality BGC regions.
- The database includes genomes from 388 archaeal, 25,236 bacterial, and 177 fungal species.
- The database is accessible via a user-friendly graphical interface at https://antismash-db.secondarymetabolites.org/.
Conclusions:
- The updated antiSMASH database (v3) significantly expands the accessibility of microbial BGCs for research.
- This resource empowers researchers to explore microbial secondary metabolite potential more efficiently.
- Facilitates the identification of novel compounds for pharmaceutical and agricultural applications.
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