Ruskamycin Discovery Data: 154 Rubromycin/Griseorhodin Biosynthetic Gene Clusters

154 manually selected rubromycin and griseorhodin biosynthetic gene clusters (BGCs) were analyzed using the tool BisCEET to identify variant-specific tailoring genes. This bioinformatics-driven approach, led by author Sven T. Sowa, guided the discovery and confirmation of the novel glycosylated griseorhodin congener ruskamycin from Actinacidiphila soli. The dataset was last updated on May 8, 2026.

Use Cases

• Identifying variant-specific tailoring genes (VSTGs) based on the analysis of 154 BGCs.
• Predicting the biosynthesis of novel glycosylated polyketide variants based on BGC analysis.
• Correlating genetic features with the production of specific antibiotic compounds based on the described discovery workflow.
• Training models for BGC classification and novelty prediction based on the manually selected cluster set.

Strengths

• Analysis is based on 154 manually selected and available biosynthetic gene clusters.
• Dataset size is 96.6 MB, indicating a substantial amount of supporting data.
• The discovery process successfully confirmed a novel antibacterial compound, validating the methodological approach.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data may reflect bias inherent to the specific bioinformatics platform and manual selection process described.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis of genomic data using the tool BisCEET, followed by microbial cultivation and compound isolation.

Time Range

The dataset reflects analysis conducted prior to its publication in 2026.

Freshness

Last updated 2026-05-08 17:04:02; freshness should be verified.

Geography

The source organism Actinacidiphila soli is a soil Actinomycete; specific geographic origin is not stated.