Predicted Compounds and Drug-Gene Interactions for S. Pyogenes and Influenza Coinfections

Supplementary Material 2 from a computational drug repositioning study. The dataset, created by Kevin Strey, contains compounds predicted with the L1000CDS2 tool and drug-gene interactions sourced from the STITCH database. It was last updated on April 25, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Prioritizing drug candidates for experimental validation based on predicted compound activity.
• Analyzing drug-gene interaction networks for S. pyogenes and influenza A coinfection pathways.
• Screening for potential therapeutic agents using transcriptomic signature matching.

Strengths

• Data is derived from the established L1000CDS2 and STITCH databases.
• The dataset is openly available under a permissive CC-BY-4.0 license.
• It was last updated on April 25, 2026, indicating recent maintenance.

Limitations

• The dataset is small at 66.8 KB, suggesting limited scope or a preliminary list of candidates.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

Kevin Strey via figshare.

Collection Method

Computational prediction using L1000CDS2 and integration of drug-gene interactions from STITCH.

Freshness

Last updated 2026-04-25 03:37:58.