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antiSMASH 6.0: improving cluster detection and comparison capabilities.

Kai Blin¹, Simon Shaw¹, Alexander M Kloosterman²

¹The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark.

Nucleic Acids Research

|May 12, 2021

Summary

This summary is machine-generated.

The updated antiSMASH 6 tool enhances microbial genome mining for natural product discovery. It now identifies more biosynthetic gene cluster types and improves the detection of key enzymes, aiding drug development.

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Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Microorganisms are a rich source of natural products for pharmaceuticals.
Genome mining is crucial for discovering novel microbial compounds.
The antiSMASH tool has been a leading platform for microbial genome mining since 2011.

Purpose of the Study:

To present antiSMASH version 6, an updated tool for microbial genome mining.
To improve the detection and characterization of biosynthetic gene clusters (BGCs).
To enhance the discovery of novel natural products from microbial genomes.

Main Methods:

Utilizing the antiSMASH 6 software for analyzing microbial genomes.
Expanding the detection capabilities for various BGC types.
Implementing a new BGC comparison algorithm.
Integrating results from other prediction tools.

Main Results:

antiSMASH 6 supports 71 cluster types, up from 58.
Improved detection of tailoring enzymes in RiPP clusters.
Enhanced visualization of multi-modular BGCs.
New BGC comparison algorithm implemented.

Conclusions:

antiSMASH 6 represents a significant advancement in microbial genome mining.
The updated tool facilitates more comprehensive natural product discovery.
This enhances the potential for identifying new antimicrobial and antiviral drug leads.