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/AGRN/Compounds

Compounds That Target AGRN

AGRN · 110 compounds in BiohacksAI corpus

AGRN (AGRN) is a biological target with 110 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 AGRN modulation for therapeutic and biohacking applications.

View AGRN target page →
Most Studied Compounds for AGRN
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Raphanus Sativus
500+
studies
4
Syzygium Aromaticum
500+
studies
5
Centella Asiatica
499+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
All 50 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
1.00
confidence
2
Agastache Rugosa
1.00
confidence
3
Allium Tuberosum
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Anemarrhena Asphodeloides
1.00
confidence
6
Artemisia Capillaris
1.00
confidence
7
Aster Tataricus
1.00
confidence
8
Atractylodes Macrocephala
1.00
confidence
9
Bupleurum Chinense
1.00
confidence
10
Centella Asiatica
499+
studies
1.00
confidence
11
Chaenomeles Speciosa
1.00
confidence
12
Citrus Reticulata
1.00
confidence
13
Curcuma Longa
500+
studies
1.00
confidence
14
Cuscuta Chinensis
1.00
confidence
15
Cynomorium Songaricum
1.00
confidence
16
Ephedra Sinica
1.00
confidence
17
Epimedium Brevicornum
1.00
confidence
18
Eriobotrya Japonica
1.00
confidence
19
Eucommia Ulmoides
1.00
confidence
20
Forsythia Suspensa
1.00
confidence
21
Fritillaria Cirrhosa
1.00
confidence
22
Gastrodia Elata
1.00
confidence
23
Ginkgo Biloba
299+
studies
1.00
confidence
24
Ligusticum Chuanxiong
1.00
confidence
25
Litchi Chinensis
1.00
confidence
26
Lithospermum Erythrorhizon
1.00
confidence
27
Lonicera Japonica
1.00
confidence
28
Morus Alba
1.00
confidence
29
Nelumbo Nucifera
1.00
confidence
30
Paeonia Lactiflora
1.00
confidence
31
Panax Ginseng
300+
studies
1.00
confidence
32
Panax Notoginseng
1.00
confidence
33
Perilla Frutescens
1.00
confidence
34
Pinellia Ternata
1.00
confidence
35
Piper Nigrum
1.00
confidence
36
Polygala Tenuifolia
1.00
confidence
37
Polygonum Cuspidatum
1.00
confidence
38
Poria Cocos
1.00
confidence
39
Portulaca Oleracea
500+
studies
1.00
confidence
40
Prunus Armeniaca
1.00
confidence
41
Prunus Persica
1.00
confidence
42
Raphanus Sativus
500+
studies
1.00
confidence
43
Rehmannia Glutinosa
1.00
confidence
44
Salvia Miltiorrhiza
1.00
confidence
45
Schisandra Chinensis
1.00
confidence
46
Scrophularia Ningpoensis
1.00
confidence
47
Scutellaria Baicalensis
1.00
confidence
48
Smilax Glabra
1.00
confidence
49
Stemona Sessilifolia
1.00
confidence
50
Syzygium Aromaticum
500+
studies
1.00
confidence

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

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

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