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/Targets/ADAM30/Compounds

Compounds That Target ADAM30

ADAM30 · 6 compounds in BiohacksAI corpus

ADAM30 (ADAM30) is a biological target with 6 documented compound interactions in the BiohacksAI corpus. The compounds listed below have been identified through computational analysis of BindingDB binding assay data and PubMed literature. Each interaction is ranked by confidence score reflecting the breadth and strength of experimental evidence. This resource supports research into ADAM30 modulation for therapeutic and biohacking applications.

View ADAM30 target page →
Most Studied Compounds for ADAM30
1
Allium Sativum
500+
studies
2
Foeniculum Vulgare
499+
studies
All 6 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
0.50
confidence
2
Arctium Lappa
0.50
confidence
3
Ephedra Sinica
0.50
confidence
4
Foeniculum Vulgare
499+
studies
0.50
confidence
5
Morus Alba
0.50
confidence
6
Schisandra Chinensis
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ADAM30 (ADAM30). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ADAM30 target overview · All biological targets · Biological pathways

Data from BindingDB and PubMed. For research purposes only. Not medical advice.