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/AGBL5/Compounds

Compounds That Target AGBL5

AGBL5 · 67 compounds in BiohacksAI corpus

AGBL5 (AGBL5) is a biological target with 67 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 AGBL5 modulation for therapeutic and biohacking applications.

View AGBL5 target page →
Most Studied Compounds for AGBL5
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Juglans Regia
500+
studies
4
Portulaca Oleracea
500+
studies
5
Centella Asiatica
499+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Bupleurum Chinense
1.00
confidence
3
Gastrodia Elata
1.00
confidence
4
Panax Ginseng
300+
studies
1.00
confidence
5
Prunus Armeniaca
1.00
confidence
6
Schisandra Chinensis
1.00
confidence
7
Scutellaria Baicalensis
1.00
confidence
8
Tussilago Farfara
1.00
confidence
9
Ziziphus Jujuba
1.00
confidence
10
Aconitum Carmichaelii
0.50
confidence
11
Albizia Julibrissin
0.50
confidence
12
Allium Sativum
500+
studies
0.50
confidence
13
Allium Tuberosum
0.50
confidence
14
Aloe Vera
0.50
confidence
15
Aquilaria Sinensis
0.50
confidence
16
Arctium Lappa
0.50
confidence
17
Areca Catechu
199+
studies
0.50
confidence
18
Atractylodes Macrocephala
0.50
confidence
19
Aucklandia Lappa
0.50
confidence
20
Carthamus Tinctorius
0.50
confidence
21
Centella Asiatica
499+
studies
0.50
confidence
22
Chaenomeles Speciosa
0.50
confidence
23
Cimicifuga Heracleifolia
0.50
confidence
24
Citrus Reticulata
0.50
confidence
25
Coix Lacryma
0.50
confidence
26
Commiphora Myrrha
0.50
confidence
27
Crataegus Pinnatifida
0.50
confidence
28
Curcuma Longa
500+
studies
0.50
confidence
29
Dimocarpus Longan
0.50
confidence
30
Ephedra Sinica
0.50
confidence
31
Epimedium Brevicornum
0.50
confidence
32
Eriobotrya Japonica
0.50
confidence
33
Euryale Ferox
0.50
confidence
34
Ginkgo Biloba
299+
studies
0.50
confidence
35
Glycyrrhiza Uralensis
0.50
confidence
36
Juglans Regia
500+
studies
0.50
confidence
37
Ligusticum Chuanxiong
0.50
confidence
38
Lonicera Japonica
0.50
confidence
39
Mentha Haplocalyx
0.50
confidence
40
Morinda Officinalis
0.50
confidence
41
Morus Alba
0.50
confidence
42
Nelumbo Nucifera
0.50
confidence
43
Paeonia Suffruticosa
0.50
confidence
44
Pinellia Ternata
0.50
confidence
45
Piper Nigrum
0.50
confidence
46
Platycodon Grandiflorus
0.50
confidence
47
Polygala Tenuifolia
0.50
confidence
48
Polygonum Cuspidatum
0.50
confidence
49
Poria Cocos
0.50
confidence
50
Portulaca Oleracea
500+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AGBL5 (AGBL5). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AGBL5 target overview · All biological targets · Biological pathways

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