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.
BiohacksAI is an evolving scientific literature platform. New compounds and evidence are indexed continuously.
B
○
Compound Discovery Engine

Discover Emerging Compounds

Mechanism-based discovery across molecular target networks. Ranked by target influence, research momentum, and corpus rarity — the same signals used in drug discovery engines.

📊 4,824 substances🎯 2,096 molecular targets📄 PubMed-verified corpus
⟳Longevity
251 compounds

Aging biology, senescence, lifespan extension

SIRT1mTORFOXO3AMPKNRF2
Top Emerging
#1Syzygium
82.00⚡
#2Centella
75.25⚡
#3Piper nigrum
75.25⚡
View all longevity compounds →
◈Cognition
476 compounds

Synaptic plasticity, neurogenesis, neuroprotection

BDNFGSK3BBACE1ACHEMAPT
Top Emerging
#1Portulaca
72.49⚡
#2Syzygium
72.49⚡
#3Piper nigrum
65.06⚡
View all cognition compounds →
◉Inflammation
292 compounds

Inflammatory pathways and immune modulation

TNFIL6COX-2NF-κBNLRP3
Top Emerging
#1Centella
73.89⚡
#2Foeniculum
73.89⚡
#3Piper nigrum
73.89⚡
View all inflammation compounds →
▲Muscle
371 compounds

Protein synthesis, hypertrophy, recovery

mTORAMPKIGF1RARPPARGC1A
Top Emerging
#1Centella
56.20⚡
#2Portulaca
56.15⚡
#3Syzygium
56.15⚡
View all muscle compounds →
◆Metabolic
254 compounds

Glucose metabolism, insulin sensitivity, lipid balance

AMPKPPARGINSRAKT1PPARA
Top Emerging
#1curculigo orchioides
83.14⚡
#2Syzygium
81.58⚡
#3Centella
74.83⚡
View all metabolic compounds →
◎Stress
223 compounds

HPA axis, cortisol regulation, stress adaptation

NR3C1NRF2SOD1HSP90MAPK14
Top Emerging
#1Centella
51.77⚡
#2Piper nigrum
51.77⚡
#3Foeniculum
51.77⚡
View all stress compounds →
Discovery Algorithm
domain_score = target_influence(IDF) × rarity_factor × momentum_factor

Substances are ranked by how strongly they interact with domain-specific molecular targets, weighted by how rare those targets are across the corpus (IDF), how few studies exist (rarity), and recent research acceleration (momentum). High score = mechanistically relevant + under-researched + gaining attention.