Predicted Secondary Metabolite Gene Clusters in Bacillus Pseudomycoides CHAES I 2_2

AntiSMASH 8.0.4 analysis predicted biosynthetic gene clusters for the Bacillus pseudomycoides CHAES I 2_2 genome. Alina Kharchuk published this 8.4 KB Excel file in April 2026, detailing clusters for secondary metabolite production. The dataset includes results from multiple analyses like Pfam searches and MIBiG database comparisons.

Use Cases

• Identify potential secondary metabolite production capabilities by analyzing predicted cluster types and core biosynthetic features.
• Compare gene clusters against the MIBiG database of known clusters to hypothesize compound function.
• Study phylogenetic relationships of biosynthetic genes using SMCOG tree data.
• Analyze transcription factor binding site predictions within clusters to investigate regulatory mechanisms.
• Map Pfam domains to Gene Ontology terms for functional annotation of cluster genes.

Strengths

• Analysis performed with antiSMASH version 8.0.4, a standard tool for BGC prediction.
• Includes results from 13 distinct analytical modules, such as ClusterBlast and TIGRFam annotation.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Dataset is very small at 8.4 KB, containing predictions for a single bacterial strain.
• No row count or column details are provided, limiting assessment of data volume and structure.
• Predictions are computational; experimental validation of clusters is not included.

Provenance

Source

figshare, authored by Alina Kharchuk.

Collection Method

Computational prediction using antiSMASH 8.0.4 in Docker, with Prodigal for gene prediction and analyses including HMMER searches and database comparisons.

Time Range

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Freshness

Last updated April 2026.

Geography

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