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/FMNL3/Compounds

Compounds That Target FMNL3

FMNL3 · 17 compounds in BiohacksAI corpus

FMNL3 (FMNL3) is a biological target with 17 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 FMNL3 modulation for therapeutic and biohacking applications.

View FMNL3 target page →
Most Studied Compounds for FMNL3
1
Zingiber Officinale
498+
studies
2
Areca Catechu
199+
studies
All 17 Compounds — Ranked by Evidence
1
Areca Catechu
199+
studies
1.00
confidence
2
Scrophularia Ningpoensis
1.00
confidence
3
Zingiber Officinale
498+
studies
1.00
confidence
4
Aconitum Carmichaelii
0.50
confidence
5
Aloe Vera
0.50
confidence
6
Chaenomeles Speciosa
0.50
confidence
7
Coix Lacryma
0.50
confidence
8
Eucommia Ulmoides
0.50
confidence
9
Lonicera Japonica
0.50
confidence
10
Morus Alba
0.50
confidence
11
Paeonia Lactiflora
0.50
confidence
12
Pinellia Ternata
0.50
confidence
13
Rehmannia Glutinosa
0.50
confidence
14
Smilax Glabra
0.50
confidence
15
Uncaria Rhynchophylla
0.50
confidence
16
Verbena Officinalis
0.50
confidence
17
Ziziphus Jujuba
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for FMNL3 (FMNL3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: FMNL3 target overview · All biological targets · Biological pathways

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