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/GFRAL
MOLECULAR TARGET

GFRAL

GFRAL

16 compounds · BiohacksAI corpus v20260307-01

16
compounds
Compounds
16
Gene Symbol
GFRAL
NCBI Gene
—

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About GFRAL

GFRAL (GFRAL) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 16 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

Compounds Targeting GFRAL (16)
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
Top 16 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.