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/AGPAT4/Compounds

Compounds That Target AGPAT4

AGPAT4 · 111 compounds in BiohacksAI corpus

AGPAT4 (AGPAT4) is a biological target with 111 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 AGPAT4 modulation for therapeutic and biohacking applications.

View AGPAT4 target page →
Most Studied Compounds for AGPAT4
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Raphanus Sativus
500+
studies
4
Centella Asiatica
499+
studies
5
Foeniculum Vulgare
499+
studies
6
Panax Ginseng
300+
studies
7
Rubia Cordifolia
200+
studies
8
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Allium Tuberosum
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Artemisia Capillaris
1.00
confidence
4
Aster Tataricus
1.00
confidence
5
Atractylodes Macrocephala
1.00
confidence
6
Bufo Bufo
1.00
confidence
7
Bupleurum Chinense
1.00
confidence
8
Centella Asiatica
499+
studies
1.00
confidence
9
Citrus Reticulata
1.00
confidence
10
Crataegus Pinnatifida
1.00
confidence
11
Curcuma Longa
500+
studies
1.00
confidence
12
Cuscuta Chinensis
1.00
confidence
13
Ephedra Sinica
1.00
confidence
14
Eriobotrya Japonica
1.00
confidence
15
Eucommia Ulmoides
1.00
confidence
16
Foeniculum Vulgare
499+
studies
1.00
confidence
17
Forsythia Suspensa
1.00
confidence
18
Gastrodia Elata
1.00
confidence
19
Glycine Max
1.00
confidence
20
Glycyrrhiza Uralensis
1.00
confidence
21
Inula Japonica
1.00
confidence
22
Lilium Lancifolium
1.00
confidence
23
Litchi Chinensis
1.00
confidence
24
Lithospermum Erythrorhizon
1.00
confidence
25
Lonicera Japonica
1.00
confidence
26
Morus Alba
1.00
confidence
27
Nelumbo Nucifera
1.00
confidence
28
Paeonia Lactiflora
1.00
confidence
29
Panax Ginseng
300+
studies
1.00
confidence
30
Panax Notoginseng
1.00
confidence
31
Perilla Frutescens
1.00
confidence
32
Pinellia Ternata
1.00
confidence
33
Polygala Tenuifolia
1.00
confidence
34
Polygonum Cuspidatum
1.00
confidence
35
Poria Cocos
1.00
confidence
36
Portulaca Oleracea
500+
studies
1.00
confidence
37
Prunella Vulgaris
1.00
confidence
38
Prunus Armeniaca
1.00
confidence
39
Prunus Mume
1.00
confidence
40
Raphanus Sativus
500+
studies
1.00
confidence
41
Rehmannia Glutinosa
1.00
confidence
42
Rubia Cordifolia
200+
studies
1.00
confidence
43
Schisandra Chinensis
1.00
confidence
44
Smilax China
142+
studies
1.00
confidence
45
Smilax Glabra
1.00
confidence
46
Sophora Flavescens
1.00
confidence
47
Taraxacum Mongolicum
1.00
confidence
48
Trichosanthes Kirilowii
1.00
confidence
49
Tussilago Farfara
1.00
confidence
50
Vigna Radiata
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AGPAT4 (AGPAT4). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AGPAT4 target overview · All biological targets · Biological pathways

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