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BiohacksAI/Targets/AGL/Compounds

Compounds That Target AGL

amylo-alpha-1,6-glucosidase and 4-alpha-glucanotransferase · 105 compounds in BiohacksAI corpus

AGL (amylo-alpha-1,6-glucosidase and 4-alpha-glucanotransferase) is a biological target with 105 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 AGL modulation for therapeutic and biohacking applications.

View AGL target page →UniProt: P35573 ↗
Most Studied Compounds for AGL
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Centella Asiatica
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
1 Deoxynojirimycin
299+
studies
9
Areca Catechu
199+
studies
10
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Duvoglustat
4.34
confidence
2
Miglustat
3.50
confidence
3
Migalastat
2.64
confidence
4
Salacinol
2.48
confidence
5
Allium Sativum
500+
studies
1.00
confidence
6
Aloe Vera
1.00
confidence
7
Arctium Lappa
1.00
confidence
8
Bombyx Mori
1.00
confidence
9
Centella Asiatica
499+
studies
1.00
confidence
10
Curcuma Longa
500+
studies
1.00
confidence
11
Cynomorium Songaricum
1.00
confidence
12
Ephedra Sinica
1.00
confidence
13
Eucommia Ulmoides
1.00
confidence
14
Forsythia Suspensa
1.00
confidence
15
Fritillaria Cirrhosa
1.00
confidence
16
Ginkgo Biloba
299+
studies
1.00
confidence
17
Lilium Lancifolium
1.00
confidence
18
Litchi Chinensis
1.00
confidence
19
Lobelia Chinensis
1.00
confidence
20
Lonicera Japonica
1.00
confidence
21
Morus Alba
1.00
confidence
22
Nelumbo Nucifera
1.00
confidence
23
Panax Ginseng
300+
studies
1.00
confidence
24
Panax Notoginseng
1.00
confidence
25
Polygonum Cuspidatum
1.00
confidence
26
Portulaca Oleracea
500+
studies
1.00
confidence
27
Prunus Armeniaca
1.00
confidence
28
Salvia Miltiorrhiza
1.00
confidence
29
Sargassum Fusiforme
1.00
confidence
30
Scutellaria Baicalensis
1.00
confidence
31
Smilax China
142+
studies
1.00
confidence
32
Vigna Radiata
1.00
confidence
33
Vigna Umbellata
1.00
confidence
34
Zingiber Officinale
498+
studies
1.00
confidence
35
1 Deoxynojirimycin
299+
studies
0.69
confidence
36
Achyranthes Bidentata
0.50
confidence
37
Aconitum Carmichaelii
0.50
confidence
38
Agastache Rugosa
0.50
confidence
39
Albizia Julibrissin
0.50
confidence
40
Allium Fistulosum
0.50
confidence
41
Allium Tuberosum
0.50
confidence
42
Apis Mellifera
0.50
confidence
43
Aquilaria Sinensis
0.50
confidence
44
Areca Catechu
199+
studies
0.50
confidence
45
Artemisia Annua
0.50
confidence
46
Artemisia Argyi
0.50
confidence
47
Artemisia Capillaris
0.50
confidence
48
Asparagus Cochinchinensis
0.50
confidence
49
Aster Tataricus
0.50
confidence
50
Bletilla Striata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AGL (amylo-alpha-1,6-glucosidase and 4-alpha-glucanotransferase). Confidence scores reflect the strength and breadth of experimental evidence.

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

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