QSJW: Network Pharmacology and Transcriptomics Data for Ulcerative Colitis Targets

Four key genes (Il1b, Hmox1, Tnf, Mmp9) were identified by combining network pharmacology and RNA sequencing data from two public datasets (GSE244377 and GSE227407). This dataset, authored by Xiaoyue He and last updated in April 2026, includes results from subcellular localization prediction, enrichment analysis, and molecular docking for a seven-herb Traditional Chinese Medicine formula. The 195 MB collection contains files in multiple formats, including tabular data, molecular structures, and images.

Use Cases

• Validate predicted protein-ligand interactions based on molecular docking results for five active pharmaceutical ingredients.
• Analyze gene enrichment pathways such as graft-versus-host disease and cytokine-cytokine receptor interaction mentioned in the description.
• Cross-reference the 224 potential target genes with other ulcerative colitis transcriptomic datasets.
• Study the subcellular localization patterns of key proteins like Hmox1 across the membrane, endoplasmic reticulum, and nucleus.

Strengths

• Integrates data from two distinct public RNA sequencing datasets (GSE244377 and GSE227407).
• Maps 125 active pharmaceutical ingredients from seven herbs to 224 potential target genes.
• Includes multiple analysis outputs such as molecular docking scores and enrichment results across various file formats.

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.
• The description metadata is limited to the study's findings; actual data structure requires manual inspection.

Provenance

Source

figshare

Collection Method

Combined analysis using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and public RNA sequencing data.

Time Range

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Freshness

Last updated 2026-04-22 14:31:16; freshness should be verified.

Geography

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