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.
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BiohacksAI/Targets/ADAM23
MOLECULAR TARGET

ADAM23

ADAM23

19 compounds · BiohacksAI corpus v20260307-01

19
compounds
Compounds
19
Gene Symbol
ADAM23
NCBI Gene
—

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About ADAM23

ADAM23 (ADAM23) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 19 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

Compounds Targeting ADAM23 (19)
1
Agastache Rugosa
1.00
confidence
2
Ginkgo Biloba
299
studies
1.00
confidence
3
Lithospermum Erythrorhizon
1.00
confidence
4
Pinellia Ternata
1.00
confidence
5
Syzygium Aromaticum
500
studies
1.00
confidence
6
Ziziphus Jujuba
1.00
confidence
7
Arctium Lappa
0.50
confidence
8
Aucklandia Lappa
0.50
confidence
9
Cimicifuga Heracleifolia
0.50
confidence
10
Citrus Reticulata
0.50
confidence
11
Coix Lacryma
0.50
confidence
12
Commiphora Myrrha
0.50
confidence
13
Ephedra Sinica
0.50
confidence
14
Eriobotrya Japonica
0.50
confidence
15
Glycine Max
0.50
confidence
16
Juglans Regia
500
studies
0.50
confidence
17
Nelumbo Nucifera
0
studies
0.50
confidence
18
Rehmannia Glutinosa
0.50
confidence
19
Scolopendra Subspinipes
0.50
confidence
Top 19 compounds by confidence score. Derived from BindingDB assay data.
Data Source
Corpusv20260307-01
SourceBindingDB · ChEMBL · PubMed

All data is computationally derived from published research. Not medical advice. Independent validation required.