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/B3GAT3/Compounds

Compounds That Target B3GAT3

B3GAT3 · 85 compounds in BiohacksAI corpus

B3GAT3 (B3GAT3) is a biological target with 85 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 B3GAT3 modulation for therapeutic and biohacking applications.

View B3GAT3 target page →
Most Studied Compounds for B3GAT3
1
Allium Sativum
500+
studies
2
Centella Asiatica
499+
studies
3
Zingiber Officinale
498+
studies
4
Panax Ginseng
300+
studies
5
Ginkgo Biloba
299+
studies
6
Areca Catechu
199+
studies
7
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Arctium Lappa
1.00
confidence
4
Centella Asiatica
499+
studies
1.00
confidence
5
Cynomorium Songaricum
1.00
confidence
6
Ephedra Sinica
1.00
confidence
7
Eucommia Ulmoides
1.00
confidence
8
Forsythia Suspensa
1.00
confidence
9
Fritillaria Cirrhosa
1.00
confidence
10
Ginkgo Biloba
299+
studies
1.00
confidence
11
Lilium Lancifolium
1.00
confidence
12
Litchi Chinensis
1.00
confidence
13
Lobelia Chinensis
1.00
confidence
14
Lonicera Japonica
1.00
confidence
15
Morus Alba
1.00
confidence
16
Nelumbo Nucifera
1.00
confidence
17
Panax Ginseng
300+
studies
1.00
confidence
18
Panax Notoginseng
1.00
confidence
19
Polygonum Cuspidatum
1.00
confidence
20
Prunus Armeniaca
1.00
confidence
21
Salvia Miltiorrhiza
1.00
confidence
22
Sargassum Fusiforme
1.00
confidence
23
Scutellaria Baicalensis
1.00
confidence
24
Smilax China
142+
studies
1.00
confidence
25
Vigna Radiata
1.00
confidence
26
Vigna Umbellata
1.00
confidence
27
Zingiber Officinale
498+
studies
1.00
confidence
28
Achyranthes Bidentata
0.50
confidence
29
Aconitum Carmichaelii
0.50
confidence
30
Agastache Rugosa
0.50
confidence
31
Albizia Julibrissin
0.50
confidence
32
Alisma Plantago
0.50
confidence
33
Allium Fistulosum
0.50
confidence
34
Apis Mellifera
0.50
confidence
35
Aquilaria Sinensis
0.50
confidence
36
Areca Catechu
199+
studies
0.50
confidence
37
Artemisia Annua
0.50
confidence
38
Artemisia Argyi
0.50
confidence
39
Artemisia Capillaris
0.50
confidence
40
Asparagus Cochinchinensis
0.50
confidence
41
Aster Tataricus
0.50
confidence
42
Bombyx Mori
0.50
confidence
43
Bupleurum Chinense
0.50
confidence
44
Carthamus Tinctorius
0.50
confidence
45
Chaenomeles Speciosa
0.50
confidence
46
Citrus Reticulata
0.50
confidence
47
Coix Lacryma
0.50
confidence
48
Commiphora Myrrha
0.50
confidence
49
Corydalis Yanhusuo
0.50
confidence
50
Crataegus Pinnatifida
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for B3GAT3 (B3GAT3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: B3GAT3 target overview · All biological targets · Biological pathways

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