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 AGBL1

AGBL1 · 70 compounds in BiohacksAI corpus

AGBL1 (AGBL1) is a biological target with 70 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 AGBL1 modulation for therapeutic and biohacking applications.

Most Studied Compounds for AGBL1
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
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
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
199+
studies
0.50
confidence
18
Aster Tataricus
0.50
confidence
19
Atractylodes Macrocephala
0.50
confidence
20
Aucklandia Lappa
0.50
confidence
21
Carthamus Tinctorius
0.50
confidence
499+
studies
0.50
confidence
23
Chaenomeles Speciosa
0.50
confidence
24
Cimicifuga Heracleifolia
0.50
confidence
25
Citrus Reticulata
0.50
confidence
26
Coix Lacryma
0.50
confidence
27
Commiphora Myrrha
0.50
confidence
28
Crataegus Pinnatifida
0.50
confidence
500+
studies
0.50
confidence
30
Dimocarpus Longan
0.50
confidence
31
Ephedra Sinica
0.50
confidence
32
Epimedium Brevicornum
0.50
confidence
33
Eriobotrya Japonica
0.50
confidence
34
Euryale Ferox
0.50
confidence
299+
studies
0.50
confidence
36
Glycyrrhiza Uralensis
0.50
confidence
500+
studies
0.50
confidence
38
Ligusticum Chuanxiong
0.50
confidence
39
Lobelia Chinensis
0.50
confidence
40
Lonicera Japonica
0.50
confidence
41
Lycopus Lucidus
0.50
confidence
42
Mentha Haplocalyx
0.50
confidence
43
Morinda Officinalis
0.50
confidence
44
Morus Alba
0.50
confidence
0.50
confidence
46
Paeonia Suffruticosa
0.50
confidence
47
Pinellia Ternata
0.50
confidence
0.50
confidence
49
Platycodon Grandiflorus
0.50
confidence
50
Polygala Tenuifolia
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AGBL1 (AGBL1). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AGBL1 target overview · All biological targets · Biological pathways

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