MGLL
MOLECULAR TARGETmonoglyceride lipase
MGLL (monoglyceride lipase) is targeted by 9 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).
Compounds Targeting MGLL
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | urb 597 | 4.08 | 58 |
| 2 | tanshinone iia | 3.74 | 41 |
| 3 | arachidonyl trifluoromethylketone | 2.77 | 15 |
| 4 | methoxyarachidonoyl fluorophosphonate | 2.77 | 15 |
| 5 | thiram | 2.48 | 11 |
| 6 | bispiperidinylthiocarbonyldisulfide | 2.20 | 8 |
| 7 | bispyrrolidinylthiocarbonyldisulfide | 1.95 | 6 |
| 8 | biphenylboronic acid | 1.79 | 5 |
| 9 | kml29 | 1.39 | 3 |
About MGLL as a Drug Target
MGLL (monoglyceride lipase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 9 compounds with documented MGLL interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.
MGLL inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.