RAC-ALPHA
MOLECULAR TARGETRAC-alpha serine/threonine-protein kinase (human)
RAC-ALPHA (RAC-alpha serine/threonine-protein kinase (human)) is targeted by 14 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 RAC-ALPHA
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | Gemcitabine | 1.61 | 4 |
| 2 | Resveratrol | 1.39 | 3 |
| 3 | pictilisib | 1.39 | 3 |
| 4 | Perphenazine | 1.10 | 2 |
| 5 | withaferin | 1.10 | 2 |
| 6 | plumbagin [Supplementary Concept] | 0.69 | 1 |
| 7 | Quercetin | 0.69 | 1 |
| 8 | Sirolimus | 0.69 | 1 |
| 9 | chicoric acid | 0.69 | 1 |
| 10 | Dasatinib | 0.69 | 1 |
| 11 | hydroxyfasudil [Supplementary Concept] | 0.69 | 1 |
| 12 | Lovastatin | 0.69 | 1 |
| 13 | ly294002 | 0.69 | 1 |
| 14 | Topotecan | 0.69 | 1 |
About RAC-ALPHA as a Drug Target
RAC-ALPHA (RAC-alpha serine/threonine-protein kinase (human)) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 14 compounds with documented RAC-ALPHA 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.
RAC-ALPHA 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.