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

Compounds That Target AGBL3

AGBL3 · 87 compounds in BiohacksAI corpus

AGBL3 (AGBL3) is a biological target with 87 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 AGBL3 modulation for therapeutic and biohacking applications.

Most Studied Compounds for AGBL3
500+
studies
500+
studies
500+
studies
499+
studies
300+
studies
299+
studies
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
1.00
confidence
300+
studies
1.00
confidence
6
Prunus Armeniaca
1.00
confidence
7
Schisandra Chinensis
1.00
confidence
8
Scutellaria Baicalensis
1.00
confidence
9
Tussilago Farfara
1.00
confidence
10
Ziziphus Jujuba
1.00
confidence
11
Achyranthes Bidentata
0.50
confidence
12
Aconitum Carmichaelii
0.50
confidence
13
Albizia Julibrissin
0.50
confidence
14
Allium Fistulosum
0.50
confidence
500+
studies
0.50
confidence
16
Allium Tuberosum
0.50
confidence
17
Aloe Vera
0.50
confidence
18
Apis Mellifera
0.50
confidence
19
Aquilaria Sinensis
0.50
confidence
20
Arctium Lappa
0.50
confidence
199+
studies
0.50
confidence
22
Artemisia Argyi
0.50
confidence
23
Aster Tataricus
0.50
confidence
24
Atractylodes Macrocephala
0.50
confidence
25
Aucklandia Lappa
0.50
confidence
26
Bombyx Mori
0.50
confidence
27
Carthamus Tinctorius
0.50
confidence
499+
studies
0.50
confidence
29
Chaenomeles Speciosa
0.50
confidence
30
Cimicifuga Heracleifolia
0.50
confidence
31
Citrus Reticulata
0.50
confidence
32
Cnidium Monnieri
0.50
confidence
33
Coix Lacryma
0.50
confidence
34
Commiphora Myrrha
0.50
confidence
35
Crataegus Pinnatifida
0.50
confidence
500+
studies
0.50
confidence
37
Dendrobium Nobile
0.50
confidence
38
Dimocarpus Longan
0.50
confidence
39
Ephedra Sinica
0.50
confidence
40
Epimedium Brevicornum
0.50
confidence
41
Eriobotrya Japonica
0.50
confidence
42
Eucommia Ulmoides
0.50
confidence
43
Euryale Ferox
0.50
confidence
299+
studies
0.50
confidence
45
Glycine Max
0.50
confidence
46
Glycyrrhiza Uralensis
0.50
confidence
47
Hirudo Nipponia
0.50
confidence
500+
studies
0.50
confidence
49
Leonurus Japonicus
0.50
confidence
50
Ligusticum Chuanxiong
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AGBL3 (AGBL3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AGBL3 target overview · All biological targets · Biological pathways

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