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.
B
○
BiohacksAI/Targets/GET4/Compounds

Compounds That Target GET4

GET4 · 68 compounds in BiohacksAI corpus

GET4 (GET4) is a biological target with 68 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 GET4 modulation for therapeutic and biohacking applications.

View GET4 target page →
Most Studied Compounds for GET4
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Juglans Regia
500+
studies
4
Foeniculum Vulgare
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Glycine Max
1.00
confidence
2
Glycyrrhiza Uralensis
1.00
confidence
3
Lonicera Japonica
1.00
confidence
4
Panax Notoginseng
1.00
confidence
5
Perilla Frutescens
1.00
confidence
6
Salvia Miltiorrhiza
1.00
confidence
7
Sanguisorba Officinalis
1.00
confidence
8
Zingiber Officinale
498+
studies
1.00
confidence
9
Achyranthes Bidentata
0.50
confidence
10
Agastache Rugosa
0.50
confidence
11
Alisma Plantago
0.50
confidence
12
Allium Sativum
500+
studies
0.50
confidence
13
Aloe Vera
0.50
confidence
14
Anemarrhena Asphodeloides
0.50
confidence
15
Aquilaria Sinensis
0.50
confidence
16
Arctium Lappa
0.50
confidence
17
Areca Catechu
199+
studies
0.50
confidence
18
Artemisia Capillaris
0.50
confidence
19
Asparagus Cochinchinensis
0.50
confidence
20
Atractylodes Macrocephala
0.50
confidence
21
Belamcanda Chinensis
0.50
confidence
22
Bombyx Mori
0.50
confidence
23
Bupleurum Chinense
0.50
confidence
24
Carthamus Tinctorius
0.50
confidence
25
Cimicifuga Heracleifolia
0.50
confidence
26
Citrus Reticulata
0.50
confidence
27
Coix Lacryma
0.50
confidence
28
Commiphora Myrrha
0.50
confidence
29
Curcuma Longa
500+
studies
0.50
confidence
30
Cuscuta Chinensis
0.50
confidence
31
Cynomorium Songaricum
0.50
confidence
32
Ephedra Sinica
0.50
confidence
33
Epimedium Brevicornum
0.50
confidence
34
Eriobotrya Japonica
0.50
confidence
35
Eucommia Ulmoides
0.50
confidence
36
Euryale Ferox
0.50
confidence
37
Foeniculum Vulgare
499+
studies
0.50
confidence
38
Forsythia Suspensa
0.50
confidence
39
Fritillaria Cirrhosa
0.50
confidence
40
Gentiana Macrophylla
0.50
confidence
41
Ginkgo Biloba
299+
studies
0.50
confidence
42
Juglans Regia
500+
studies
0.50
confidence
43
Leonurus Japonicus
0.50
confidence
44
Ligusticum Chuanxiong
0.50
confidence
45
Lindera Aggregata
0.50
confidence
46
Morus Alba
0.50
confidence
47
Paeonia Lactiflora
0.50
confidence
48
Panax Ginseng
300+
studies
0.50
confidence
49
Peucedanum Praeruptorum
0.50
confidence
50
Pinellia Ternata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for GET4 (GET4). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: GET4 target overview · All biological targets · Biological pathways

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