Metabolic Health & Glucose
Targets regulating glucose metabolism, insulin sensitivity, and lipid balance. Compounds are ranked by target influence (IDF-weighted), research rarity, and momentum — revealing under-studied candidates with active signal.
Top Emerging Metabolic Health & Glucose Compounds
| # | Compound | Top Targets | Score | Studies |
|---|---|---|---|---|
| 1 | Berberinecap⚡ | PRKAA1 · PRKAA2 · PPARA | 16.140 | 300 |
| 2 | Arachidonic Acid⚡ | PPARA · PPARD · PPARG | 8.946 | 245 |
| 3 | Rutincap⚡ | PRKAA2 · PPARG | 8.924 | 300 |
| 4 | Quercetincap | AKT1 · PRKAA2 · PPARG | 5.963 | 300 |
| 5 | chrysincap⚡ | PPARG · NR1I2 | 5.782 | 300 |
| 6 | trequinsin hydrochloride | PPARG · NR1I2 | 4.192 | 1 |
| 7 | Luteolin 5,7,3',4'-tetrahydroxy-flavone, | AKT1 · PPARG | 3.848 | 150 |
| 8 | Kaempferolscap | PRKAA2 · PPARG · NR1I2 | 3.739 | 300 |
| 9 | Linoleic Acidcap | HNF4A · PPARA · PPARD | 3.531 | 300 |
| 10 | Rotenonecap | PRKAA1 · PRKAA2 · PPARD | 3.150 | 300 |
| # | Compound | Targets | Score | Studies | Evid. |
|---|---|---|---|---|---|
| 1 | 7% human | PRKAA1PRKAA2PPARA | 16.140 | 300 | 47.9 |
| 2 | 8% human | PPARAPPARDPPARG | 8.946 | 245 | 47.4 |
| 3 | 2% human | PRKAA2PPARG | 8.924 | 300 | 41.5 |
| 4 | Quercetincap 1% human | AKT1PRKAA2PPARGNR1I2 | 5.963 | 300 | 43.4 |
| 5 | 0% human | PPARGNR1I2 | 5.782 | 300 | 39.8 |
| 6 | PPARGNR1I2 | 4.192 | 1 | 7.6 | |
| 7 | 1% human | AKT1PPARG | 3.848 | 150 | 40.6 |
| 8 | Kaempferolscap | PRKAA2PPARGNR1I2 | 3.739 | 300 | 43.3 |
| 9 | 1% human | HNF4APPARAPPARDPPARG+1 | 3.531 | 300 | 43.7 |
| 10 | Rotenonecap | PRKAA1PRKAA2PPARDPPARG | 3.150 | 300 | 36 |
| 11 | Metformincap 49% human | PRKAA1PRKAA2 | 3.044 | 1,000 | 71.9 |
| 12 | INSRPPARDPPARGNR1I2 | 2.764 | 300 | 42.3 | |
| 13 | Ursolic Acidcap | PRKAA1PRKAA2PPARA | 2.690 | 300 | 42.3 |
| 14 | 7% human | PPARAPPARDPPARG | 2.599 | 112 | 48.1 |
| 15 | Sirolimuscap 2% human | AKT1PIK3CANR1I2 | 2.568 | 300 | 45.4 |
| 16 | 7% human | PPARAPPARDPPARGNR1I2 | 2.545 | 297 | 47.1 |
| 17 | AKT1 | 2.426 | 11 | 27.5 | |
| 18 | PRKAA1PRKAA2 | 2.409 | 76 | 40.3 | |
| 19 | 17% human | INSRPRKAA1NR1I2 | 2.393 | 298 | 46.7 |
| 20 | 5% human | PPARAPPARDPPARG | 2.357 | 184 | 44.1 |
| 21 | 0% human | NR1I2 | 2.350 | 261 | 42.3 |
| 22 | PIK3CA | 2.341 | 11 | 29.6 | |
| 23 | 3% human | PPARG | 2.326 | 300 | 46.8 |
| 24 | 5% human | NR1I2 | 2.293 | 300 | 45.1 |
| 25 | NR1I2 | 2.293 | 300 | 42.6 |
About Metabolic Health & Glucose Compound Discovery
Discover emerging metabolic health compounds via AMPK, PPAR-gamma, insulin receptor, and AKT1 target networks. The discovery score combines three signals: target influence (how strongly a substance interacts with metabolic health & glucose targets, weighted by target specificity via IDF), rarity factor (inverse log of study count — fewer studies means higher discovery potential), and momentum factor (recent publication acceleration). Compounds with high scores represent mechanistically relevant, under-researched candidates with active research interest.
Key targets in this domain include: INSR, IRS1, PIK3CA, AKT1, PRKAA1, PRKAA2. The analysis covers 323 compounds from the BiohacksAI corpus of 4,824 substances derived from PubMed-indexed bioassay data.