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BiohacksAI/Targets/AQP9/Compounds

Compounds That Target AQP9

AQP9 · 102 compounds in BiohacksAI corpus

AQP9 (AQP9) is a biological target with 102 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 AQP9 modulation for therapeutic and biohacking applications.

View AQP9 target page →
Most Studied Compounds for AQP9
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Raphanus Sativus
500+
studies
4
Allium Sativum
500+
studies
5
Foeniculum Vulgare
499+
studies
6
Zingiber Officinale
498+
studies
7
Panax Ginseng
300+
studies
8
Ginkgo Biloba
299+
studies
9
Rubia Cordifolia
200+
studies
10
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Anemarrhena Asphodeloides
1.00
confidence
4
Artemisia Argyi
1.00
confidence
5
Artemisia Capillaris
1.00
confidence
6
Bombyx Mori
1.00
confidence
7
Carthamus Tinctorius
1.00
confidence
8
Citrus Reticulata
1.00
confidence
9
Curcuma Longa
500+
studies
1.00
confidence
10
Ephedra Sinica
1.00
confidence
11
Eucommia Ulmoides
1.00
confidence
12
Foeniculum Vulgare
499+
studies
1.00
confidence
13
Ginkgo Biloba
299+
studies
1.00
confidence
14
Lobelia Chinensis
1.00
confidence
15
Lonicera Japonica
1.00
confidence
16
Morus Alba
1.00
confidence
17
Nelumbo Nucifera
1.00
confidence
18
Paeonia Lactiflora
1.00
confidence
19
Panax Ginseng
300+
studies
1.00
confidence
20
Panax Notoginseng
1.00
confidence
21
Perilla Frutescens
1.00
confidence
22
Poria Cocos
1.00
confidence
23
Portulaca Oleracea
500+
studies
1.00
confidence
24
Prunus Armeniaca
1.00
confidence
25
Prunus Mume
1.00
confidence
26
Pulsatilla Chinensis
1.00
confidence
27
Quisqualis Indica
1.00
confidence
28
Raphanus Sativus
500+
studies
1.00
confidence
29
Rehmannia Glutinosa
1.00
confidence
30
Rubia Cordifolia
200+
studies
1.00
confidence
31
Smilax China
142+
studies
1.00
confidence
32
Trichosanthes Kirilowii
1.00
confidence
33
Zingiber Officinale
498+
studies
1.00
confidence
34
Achyranthes Bidentata
0.50
confidence
35
Aconitum Carmichaelii
0.50
confidence
36
Alisma Plantago
0.50
confidence
37
Allium Fistulosum
0.50
confidence
38
Allium Sativum
500+
studies
0.50
confidence
39
Allium Tuberosum
0.50
confidence
40
Apis Mellifera
0.50
confidence
41
Aquilaria Sinensis
0.50
confidence
42
Arctium Lappa
0.50
confidence
43
Areca Catechu
199+
studies
0.50
confidence
44
Asparagus Cochinchinensis
0.50
confidence
45
Atractylodes Macrocephala
0.50
confidence
46
Aucklandia Lappa
0.50
confidence
47
Belamcanda Chinensis
0.50
confidence
48
Bupleurum Chinense
0.50
confidence
49
Chaenomeles Speciosa
0.50
confidence
50
Cimicifuga Heracleifolia
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AQP9 (AQP9). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AQP9 target overview · All biological targets · Biological pathways

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