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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BiohacksAI/Research Domains/Longevity & Anti-Aging
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Compounds Studied for Longevity Pathways

Longevity research focuses on pathways such as AMPK, mTOR, sirtuins, and cellular repair mechanisms. Published research has documented compounds in relation to NAD+ metabolism, senescent cell biology, autophagy, and telomere-associated targets.

Ranking Methodology
Compounds are ranked using a four-signal weighted model: BiohacksAI discovery score (cross-study convergence across targets), target match (direct overlap with SIRT1, MTOR, PRKAA1 and related targets — highest differentiating signal), pathway overlap with goal-relevant pathways, and PubMed study count (log-scaled). Clinical drugs are excluded.
Key Molecular Targets

Click a target to see all compounds with documented interactions.

Rankings based on BiohacksAI discovery score, pathway overlap, and PubMed study count. All data is deterministic and corpus-verified. Not medical advice.

Browse all compounds · Biological pathways · Molecular targets · Health conditions

Data: PubMed/NCBI, BindingDB, Reactome. © Organiq Sweden AB · Patent pending EVE-PAT-2026-001