UM-200 cGAS-STING Pathway Inhibitor Characterization Data

Chemical and biological characterization data for UM-200, a novel alkyne amide-based inhibitor of the cGAS-STING pathway. The dataset includes results from assays demonstrating its potency in murine and human systems, activity against the R232 STING variant, and improved metabolic stability. It was authored by Leonard Barasa and shared via figshare in March 2026.

Use Cases

• Analyze the metabolic stability data of UM-200 compared to earlier nitrofuran-based analogs to evaluate pharmacokinetic improvements.
• Correlate assay results for STING signaling suppression across murine and human systems to validate cross-species efficacy.
• Examine the activity data against the R232 human STING variant to assess therapeutic relevance for prevalent genetic populations.
• Use the characterization data for UM-200 as a scaffold to model or design next-generation STING-targeting therapeutics.

Strengths

• Data is derived from primary research, including assays in primary human CD14+ monocytes.
• Includes comparative analysis of UM-200's metabolic stability against earlier inhibitor analogs.
• Focuses on a specific, promising therapeutic target (STING) for inflammatory and autoimmune disorders.

Limitations

• The dataset is very small at 7.1 KB, indicating limited scope and likely a summary of key findings rather than raw experimental data.
• Specific data structure, column names, and row counts are not provided, limiting immediate analytical utility.
• Data is focused on a single compound (UM-200), limiting broader comparative studies across chemical classes.

Provenance

Source

figshare, authored by Leonard Barasa.

Collection Method

Presumably generated from laboratory experiments characterizing the UM-200 compound.

Freshness

Last updated March 2026.