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/DVL3/Compounds

Compounds That Target DVL3

DVL3 · 13 compounds in BiohacksAI corpus

DVL3 (DVL3) is a biological target with 13 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 DVL3 modulation for therapeutic and biohacking applications.

View DVL3 target page →
Most Studied Compounds for DVL3
1
Zingiber Officinale
498+
studies
2
Ginkgo Biloba
299+
studies
3
Areca Catechu
199+
studies
All 13 Compounds — Ranked by Evidence
1
Aloe Vera
0.50
confidence
2
Arctium Lappa
0.50
confidence
3
Areca Catechu
199+
studies
0.50
confidence
4
Crataegus Pinnatifida
0.50
confidence
5
Ephedra Sinica
0.50
confidence
6
Ginkgo Biloba
299+
studies
0.50
confidence
7
Glycyrrhiza Uralensis
0.50
confidence
8
Ligusticum Chuanxiong
0.50
confidence
9
Panax Notoginseng
0.50
confidence
10
Pinellia Ternata
0.50
confidence
11
Saposhnikovia Divaricata
0.50
confidence
12
Verbena Officinalis
0.50
confidence
13
Zingiber Officinale
498+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DVL3 (DVL3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DVL3 target overview · All biological targets · Biological pathways

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