B

BiohacksAI

Evidence-Based Biohacking

Patent Pending
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:MTORPRKAA1PRKAA2IGF1RMSTNARESR1PPARGPPARA
442 compounds matched · 9 targets active

Top Emerging Muscle Performance & Recovery Compounds

#CompoundTop TargetsScoreStudies
1BerberinecapPRKAA1 · PRKAA2 · PPARA16.140300
2RutincapPRKAA2 · PPARG · ESR111.242300
3chrysincapPPARG · ESR1 · AR7.959300
4egcgcapMTOR · AR6.821300
5QuercetincapIGF1R · PRKAA2 · PPARG6.689300
6Arachidonic AcidPPARA · PPARG5.929245
7KaempferolscapPRKAA2 · PPARG · ESR14.465300
8ly294002IGF1R · MTOR4.12311
9trequinsin hydrochloridePPARG · AR4.0901
10RotenonecapPRKAA1 · PRKAA2 · MTOR3.946300
Sort
Min targets
Target
50 compounds
#CompoundTargetsScoreStudiesEvid.
1
Berberinecap
7% human
PRKAA1PRKAA2PPARA
16.140
30047.9
2
Rutincap
2% human
PRKAA2PPARGESR1
11.242
30041.5
3
chrysincap
0% human
PPARGESR1AR
7.959
30039.8
4
egcgcap
1% human
MTORAR
6.821
30043.2
5
1% human
IGF1RPRKAA2PPARGESR1+1
6.689
30043.4
6
8% human
PPARAPPARG
5.929
24547.4
7
PRKAA2PPARGESR1AR
4.465
30043.3
8
IGF1RMTOR
4.123
1129.6
9
PPARGAR
4.090
17.6
10
PRKAA1PRKAA2MTORPPARG+2
3.946
30036
11
42% human
ESR1AR
3.696
1,00073.4
12
PRKAA1PRKAA2PPARAMTOR
3.468
30042.3
13
2% human
PRKAA1PRKAA2MTORESR1+1
3.366
29944.1
14
49% human
PRKAA1PRKAA2
3.044
1,00071.9
15
3% human
MSTNPPARGESR1AR
2.884
20042.9
16
MTOR
2.865
211.5
17
ESR1AR
2.744
27.2
18
1% human
ESR1
2.537
18244.6
19
35% human
ESR1AR
2.464
1,00075.3
20
ESR1AR
2.441
317.7
21
21% human
MTORESR1AR
2.433
3343.4
22
PRKAA1PRKAA2
2.409
7640.3
23
0% human
ESR1
2.375
26142.3
24
3% human
PPARG
2.326
30046.8
25
5% human
ESR1
2.318
30045.1
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 442 compounds from the BiohacksAI corpus of 4,824 substances derived from PubMed-indexed bioassay data.