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/GFRAL/Compounds

Compounds That Target GFRAL

GFRAL · 16 compounds in BiohacksAI corpus

GFRAL (GFRAL) is a biological target with 16 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 GFRAL modulation for therapeutic and biohacking applications.

View GFRAL target page →
Most Studied Compounds for GFRAL
1
Allium Sativum
500+
studies
2
Portulaca Oleracea
500+
studies
3
Panax Ginseng
300+
studies
All 16 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
0.50
confidence
2
Aloe Vera
0.50
confidence
3
Apis Mellifera
0.50
confidence
4
Bupleurum Chinense
0.50
confidence
5
Carthamus Tinctorius
0.50
confidence
6
Corydalis Yanhusuo
0.50
confidence
7
Eriobotrya Japonica
0.50
confidence
8
Forsythia Suspensa
0.50
confidence
9
Fritillaria Cirrhosa
0.50
confidence
10
Hirudo Nipponia
0.50
confidence
11
Ligusticum Chuanxiong
0.50
confidence
12
Panax Ginseng
300+
studies
0.50
confidence
13
Polygonum Cuspidatum
0.50
confidence
14
Portulaca Oleracea
500+
studies
0.50
confidence
15
Scutellaria Baicalensis
0.50
confidence
16
Ziziphus Jujuba
0.50
confidence

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

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

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