CN-2: High-Throughput Screening Data for MAGL Inhibitor Discovery

A 20.0 KB dataset containing results from a high-throughput screening platform for discovering monoacylglycerol lipase (MAGL) inhibitors. The dataset, authored by Lele Liu and last updated in May 2026, originates from research that developed a fluorogenic probe named CN-2. It likely includes screening results that identified three potent competitive MAGL inhibitors (A5, A11, and F10) with anti-inflammatory and hepatoprotective properties.

Use Cases

• Validating high-throughput screening assays based on the described MAGL-activatable fluorogenic probe CN-2.
• Identifying lead compounds for anti-inflammatory drug development based on the discovered inhibitors A5, A11, and F10.
• Studying structure-activity relationships for MAGL inhibitors based on the three-round structural optimization process described.
• Investigating hepatoprotective effects against acetaminophen-induced injury based on the measured biomarkers (ALT, AST, LDH, ROS).

Strengths

• Data is associated with a specific, rationally engineered fluorogenic probe (CN-2) described in the research.
• The screening platform successfully identified three potent competitive MAGL inhibitors (A5, A11, F10).
• Results were validated in cellular models (macrophages, hepatocytes) and human liver organoids.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (20.0 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely contains experimental data from high-throughput screening of chemical libraries using the CN-2 probe.

Freshness

Last updated 2026-05-30 14:04:53; freshness should be verified.