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.
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BiohacksAI/Targets/AQP3/Compounds

Compounds That Target AQP3

AQP3 · 110 compounds in BiohacksAI corpus

AQP3 (AQP3) 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 AQP3 modulation for therapeutic and biohacking applications.

View AQP3 target page →
Most Studied Compounds for AQP3
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Raphanus Sativus
500+
studies
5
Centella Asiatica
499+
studies
6
Foeniculum Vulgare
499+
studies
7
Panax Ginseng
300+
studies
8
Ginkgo Biloba
299+
studies
9
Rubia Cordifolia
200+
studies
10
Curculigo Orchioides
116+
studies
All 50 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
1.00
confidence
2
Agastache Rugosa
1.00
confidence
3
Allium Sativum
500+
studies
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Arctium Lappa
1.00
confidence
6
Artemisia Annua
1.00
confidence
7
Artemisia Argyi
1.00
confidence
8
Aster Tataricus
1.00
confidence
9
Bombyx Mori
1.00
confidence
10
Bufo Bufo
1.00
confidence
11
Centella Asiatica
499+
studies
1.00
confidence
12
Chaenomeles Speciosa
1.00
confidence
13
Citrus Reticulata
1.00
confidence
14
Crataegus Pinnatifida
1.00
confidence
15
Curculigo Orchioides
116+
studies
1.00
confidence
16
Curcuma Longa
500+
studies
1.00
confidence
17
Cuscuta Chinensis
1.00
confidence
18
Cynomorium Songaricum
1.00
confidence
19
Ephedra Sinica
1.00
confidence
20
Eriobotrya Japonica
1.00
confidence
21
Eucommia Ulmoides
1.00
confidence
22
Foeniculum Vulgare
499+
studies
1.00
confidence
23
Forsythia Suspensa
1.00
confidence
24
Fritillaria Cirrhosa
1.00
confidence
25
Ginkgo Biloba
299+
studies
1.00
confidence
26
Glycine Max
1.00
confidence
27
Glycyrrhiza Uralensis
1.00
confidence
28
Ligusticum Chuanxiong
1.00
confidence
29
Lilium Lancifolium
1.00
confidence
30
Litchi Chinensis
1.00
confidence
31
Lobelia Chinensis
1.00
confidence
32
Lonicera Japonica
1.00
confidence
33
Morus Alba
1.00
confidence
34
Nelumbo Nucifera
1.00
confidence
35
Paeonia Lactiflora
1.00
confidence
36
Panax Ginseng
300+
studies
1.00
confidence
37
Panax Notoginseng
1.00
confidence
38
Perilla Frutescens
1.00
confidence
39
Polygonum Cuspidatum
1.00
confidence
40
Poria Cocos
1.00
confidence
41
Portulaca Oleracea
500+
studies
1.00
confidence
42
Prunella Vulgaris
1.00
confidence
43
Prunus Armeniaca
1.00
confidence
44
Prunus Mume
1.00
confidence
45
Raphanus Sativus
500+
studies
1.00
confidence
46
Rubia Cordifolia
200+
studies
1.00
confidence
47
Salvia Miltiorrhiza
1.00
confidence
48
Sanguisorba Officinalis
1.00
confidence
49
Sargassum Fusiforme
1.00
confidence
50
Schisandra Chinensis
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AQP3 (AQP3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AQP3 target overview · All biological targets · Biological pathways

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