BETABiohacksAI is a research tool for informational purposes only. All outputs are computational hypothesis candidates — not confirmed mechanisms, not medical advice, and not a substitute for professional medical judgment. Independent experimental validation is always required.
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▲Domain Discovery

Muscle Performance & Recovery

Targets governing muscle protein synthesis, hypertrophy, and recovery. Compounds are ranked by target influence (IDF-weighted), research rarity, and momentum — revealing under-studied candidates with active signal.

Targets:MTORPRKAA1PRKAA2IGF1RMSTNPPARGC1AARESR1PPARGPPARA
783 compounds matched · 10 targets active

Top Emerging Muscle Performance & Recovery Compounds

#CompoundTop TargetsScoreStudies
1Centella⚡MSTN · IGF1R · PPARGC1A56.200199
2Portulaca⚡MSTN · IGF1R · PPARGC1A56.148200
3Syzygium⚡MSTN · IGF1R · PPARGC1A56.148200
4Piper nigrum⚡IGF1R · PPARGC1A · PRKAA249.641199
5Nelumbo⚡MSTN · IGF1R · PPARGC1A46.790200
6Rubia⚡MSTN · PPARGC1A · PRKAA245.421200
7Foeniculum⚡PPARGC1A · PRKAA2 · PPARA43.531199
8curculigo orchioides⚡PPARGC1A · PRKAA2 · PPARA43.222116
9e guggulsteronePPARA · PPARG · ESR117.8990
10foretinibIGF1R · PRKAA2 · PRKAA115.7390
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50 compounds
#CompoundTargetsScoreStudiesEvid.
1
15% human
MSTNIGF1RPPARGC1APRKAA2+6
56.200
19931.6
2
9% human
MSTNIGF1RPPARGC1APRKAA2+6
56.148
20030.7
3
10% human
MSTNIGF1RPPARGC1APRKAA2+6
56.148
20030.6
4
7% human
IGF1RPPARGC1APRKAA2PPARA+5
49.641
19929.6
5
6% human
MSTNIGF1RPPARGC1APRKAA2+6
46.790
20031.1
6
6% human
MSTNPPARGC1APRKAA2PPARA+4
45.421
20029.8
7
13% human
PPARGC1APRKAA2PPARAPRKAA1+4
43.531
19932
8
2% human
PPARGC1APRKAA2PPARAPRKAA1+3
43.222
11628.7
9
PPARAPPARGESR1AR
17.899
0—
10
IGF1RPRKAA2PRKAA1
15.739
0—
11
IGF1RPRKAA2PRKAA1
15.739
0—
12
IGF1RPRKAA2PRKAA1
15.739
0—
13
IGF1RPRKAA2PRKAA1
15.739
0—
14
IGF1RPRKAA2PRKAA1
15.739
0—
15
IGF1RPRKAA2PRKAA1
15.739
0—
16
IGF1RPRKAA2PRKAA1
15.739
0—
17
IGF1RPRKAA2PRKAA1
15.739
0—
18
IGF1RPRKAA2PRKAA1
15.739
0—
19
Berberinecap⚡
37% human
PRKAA2PPARAPRKAA1
15.079
46649.2
20
Rutincap⚡
10% human
PRKAA2PPARGESR1
14.643
30038.6
21
7% human
MSTNIGF1RPPARGC1APRKAA2+5
13.449
2724.8
22
chrysincap⚡
8% human
PPARGESR1AR
13.420
30037.2
23
6% human
MSTNPPARGC1APRKAA2PPARA+5
12.117
3624.9
24
8% human
IGF1RPPARGC1APRKAA2PPARA+5
11.845
3825.6
25
IGF1RPPARGC1APRKAA2PPARA+5
11.845
3829
score = target_influence × rarity × momentum⚡ acceleration >2×cap = ≥300 studies (corpus ceiling)click target chip to filter

About Muscle Performance & Recovery Compound Discovery

Discover emerging muscle performance compounds via mTOR, AMPK, IGF-1R, androgen receptor, and PGC-1α target networks. The discovery score combines three signals: target influence (how strongly a substance interacts with muscle performance & recovery 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: MTOR, PRKAA1, PRKAA2, IGF1, IGF1R, MSTN. The analysis covers 783 compounds from the BiohacksAI corpus of 4,824 substances derived from PubMed-indexed bioassay data.