SIGMA
MOLECULAR TARGETSigma non-opioid intracellular receptor 1 (human)
SIGMA (Sigma non-opioid intracellular receptor 1 (human)) is targeted by 15 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 SIGMA
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | Progesterone | 1.10 | 2 |
| 2 | Quetiapine Fumarate | 1.10 | 2 |
| 3 | Sertraline | 1.10 | 2 |
| 4 | Amitriptyline Tricyclic antidepressant with anticholinergic and sedative properties. It appears to prevent | 1.10 | 2 |
| 5 | Astemizole Antihistamine drug now withdrawn from | 1.10 | 2 |
| 6 | Buspirone | 1.10 | 2 |
| 7 | Cinnarizine | 1.10 | 2 |
| 8 | Dimenhydrinate | 1.10 | 2 |
| 9 | Flunarizine Flunarizine is | 1.10 | 2 |
| 10 | Labetalol | 1.10 | 2 |
| 11 | Levobunolol | 1.10 | 2 |
| 12 | Promethazine | 1.10 | 2 |
| 13 | Propranolol | 1.10 | 2 |
| 14 | Trazodone | 1.10 | 2 |
| 15 | Econazole | 0.69 | 1 |
About SIGMA as a Drug Target
SIGMA (Sigma non-opioid intracellular receptor 1 (human)) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 15 compounds with documented SIGMA 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.
SIGMA 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.