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/ATP9B/Compounds

Compounds That Target ATP9B

ATP9B · 91 compounds in BiohacksAI corpus

ATP9B (ATP9B) is a biological target with 91 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 ATP9B modulation for therapeutic and biohacking applications.

View ATP9B target page →
Most Studied Compounds for ATP9B
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Syzygium Aromaticum
500+
studies
5
Foeniculum Vulgare
499+
studies
6
Centella Asiatica
499+
studies
7
Zingiber Officinale
498+
studies
8
Panax Ginseng
300+
studies
9
Rubia Cordifolia
200+
studies
10
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Aster Tataricus
1.00
confidence
4
Carthamus Tinctorius
1.00
confidence
5
Chaenomeles Speciosa
1.00
confidence
6
Crataegus Pinnatifida
1.00
confidence
7
Curcuma Longa
500+
studies
1.00
confidence
8
Foeniculum Vulgare
499+
studies
1.00
confidence
9
Glycine Max
1.00
confidence
10
Glycyrrhiza Uralensis
1.00
confidence
11
Lilium Lancifolium
1.00
confidence
12
Lonicera Japonica
1.00
confidence
13
Morus Alba
1.00
confidence
14
Nelumbo Nucifera
1.00
confidence
15
Panax Ginseng
300+
studies
1.00
confidence
16
Panax Notoginseng
1.00
confidence
17
Perilla Frutescens
1.00
confidence
18
Polygonum Cuspidatum
1.00
confidence
19
Portulaca Oleracea
500+
studies
1.00
confidence
20
Prunus Armeniaca
1.00
confidence
21
Rubia Cordifolia
200+
studies
1.00
confidence
22
Salvia Miltiorrhiza
1.00
confidence
23
Scutellaria Baicalensis
1.00
confidence
24
Smilax China
142+
studies
1.00
confidence
25
Smilax Glabra
1.00
confidence
26
Syzygium Aromaticum
500+
studies
1.00
confidence
27
Tussilago Farfara
1.00
confidence
28
Vigna Umbellata
1.00
confidence
29
Zingiber Officinale
498+
studies
1.00
confidence
30
Achyranthes Bidentata
0.50
confidence
31
Alisma Plantago
0.50
confidence
32
Allium Fistulosum
0.50
confidence
33
Aloe Vera
0.50
confidence
34
Anemarrhena Asphodeloides
0.50
confidence
35
Apis Mellifera
0.50
confidence
36
Arctium Lappa
0.50
confidence
37
Areca Catechu
199+
studies
0.50
confidence
38
Artemisia Annua
0.50
confidence
39
Artemisia Argyi
0.50
confidence
40
Asparagus Cochinchinensis
0.50
confidence
41
Belamcanda Chinensis
0.50
confidence
42
Bletilla Striata
0.50
confidence
43
Bombyx Mori
0.50
confidence
44
Bupleurum Chinense
0.50
confidence
45
Centella Asiatica
499+
studies
0.50
confidence
46
Citrus Reticulata
0.50
confidence
47
Coix Lacryma
0.50
confidence
48
Commiphora Myrrha
0.50
confidence
49
Cuscuta Chinensis
0.50
confidence
50
Ephedra Sinica
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ATP9B (ATP9B). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ATP9B target overview · All biological targets · Biological pathways

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