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/ADAM22/Compounds

Compounds That Target ADAM22

ADAM22 · 14 compounds in BiohacksAI corpus

ADAM22 (ADAM22) is a biological target with 14 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 ADAM22 modulation for therapeutic and biohacking applications.

View ADAM22 target page →
Most Studied Compounds for ADAM22
1
Juglans Regia
500+
studies
All 14 Compounds — Ranked by Evidence
1
Glycine Max
1.00
confidence
2
Panax Notoginseng
1.00
confidence
3
Apis Mellifera
0.50
confidence
4
Arctium Lappa
0.50
confidence
5
Citrus Reticulata
0.50
confidence
6
Coix Lacryma
0.50
confidence
7
Gentiana Macrophylla
0.50
confidence
8
Juglans Regia
500+
studies
0.50
confidence
9
Pinellia Ternata
0.50
confidence
10
Polygala Tenuifolia
0.50
confidence
11
Polygonum Cuspidatum
0.50
confidence
12
Scolopendra Subspinipes
0.50
confidence
13
Tussilago Farfara
0.50
confidence
14
Ziziphus Jujuba
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ADAM22 (ADAM22). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ADAM22 target overview · All biological targets · Biological pathways

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