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BiohacksAI/Targets/CHRNA9/Compounds

Compounds That Target CHRNA9

cholinergic receptor nicotinic alpha 9 subunit · 72 compounds in BiohacksAI corpus

CHRNA9 (cholinergic receptor nicotinic alpha 9 subunit) is a biological target with 72 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 CHRNA9 modulation for therapeutic and biohacking applications.

View CHRNA9 target page →UniProt: P43144 ↗
Most Studied Compounds for CHRNA9
1
Curcuma Longa
500+
studies
2
Juglans Regia
500+
studies
3
Allium Sativum
500+
studies
4
Foeniculum Vulgare
499+
studies
5
Lobeline
300+
studies
6
Panax Ginseng
300+
studies
7
Strychnine
300+
studies
8
Arecoline
299+
studies
9
Ginkgo Biloba
299+
studies
10
Mecamylamine
298+
studies
All 50 Compounds — Ranked by Evidence
1
Acetylcholine
4.29
confidence
2
Nicotinedrugage
3.26
confidence
3
Mg624
3+
studies
1.61
confidence
4
Lobeline
300+
studies
1.10
confidence
5
Dimethylphenylpiperazinium Iodide
33+
studies
1.10
confidence
6
Panax Notoginseng
1.00
confidence
7
Piper Nigrum
1.00
confidence
8
Bombyx Mori
1.00
confidence
9
Bufo Bufo
1.00
confidence
10
Lobelia Chinensis
1.00
confidence
11
Panax Ginseng
300+
studies
1.00
confidence
12
Muscarineheterocyclic
0.69
confidence
13
Arecoline
299+
studies
0.69
confidence
14
Mecamylamine
298+
studies
0.69
confidence
15
Strychnine
300+
studies
0.69
confidence
16
Cnidium Monnieri
0.50
confidence
17
Coix Lacryma
0.50
confidence
18
Commiphora Myrrha
0.50
confidence
19
Corydalis Yanhusuo
0.50
confidence
20
Curculigo Orchioides
116+
studies
0.50
confidence
21
Curcuma Longa
500+
studies
0.50
confidence
22
Ephedra Sinica
0.50
confidence
23
Eriobotrya Japonica
0.50
confidence
24
Eucommia Ulmoides
0.50
confidence
25
Eupatorium Fortunei
0.50
confidence
26
Foeniculum Vulgare
499+
studies
0.50
confidence
27
Ginkgo Biloba
299+
studies
0.50
confidence
28
Glycine Max
0.50
confidence
29
Hirudo Nipponia
0.50
confidence
30
Inula Japonica
0.50
confidence
31
Juglans Regia
500+
studies
0.50
confidence
32
Leonurus Japonicus
0.50
confidence
33
Ligusticum Chuanxiong
0.50
confidence
34
Lindera Aggregata
0.50
confidence
35
Lonicera Japonica
0.50
confidence
36
Morinda Officinalis
0.50
confidence
37
Aconitum Carmichaelii
0.50
confidence
38
Allium Sativum
500+
studies
0.50
confidence
39
Allium Tuberosum
0.50
confidence
40
Aloe Vera
0.50
confidence
41
Anemarrhena Asphodeloides
0.50
confidence
42
Apis Mellifera
0.50
confidence
43
Aquilaria Sinensis
0.50
confidence
44
Arctium Lappa
0.50
confidence
45
Areca Catechu
199+
studies
0.50
confidence
46
Artemisia Annua
0.50
confidence
47
Bupleurum Chinense
0.50
confidence
48
Carthamus Tinctorius
0.50
confidence
49
Cimicifuga Heracleifolia
0.50
confidence
50
Citrus Reticulata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CHRNA9 (cholinergic receptor nicotinic alpha 9 subunit). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CHRNA9 target overview · All biological targets · Biological pathways

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