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BiohacksAI/Targets/CNN3/Compounds

Compounds That Target CNN3

CNN3 · 38 compounds in BiohacksAI corpus

CNN3 (CNN3) is a biological target with 38 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 CNN3 modulation for therapeutic and biohacking applications.

View CNN3 target page →
Most Studied Compounds for CNN3
1
Portulaca Oleracea
500+
studies
2
Syzygium Aromaticum
500+
studies
3
Vitis Vinifera
500+
studies
4
Panax Ginseng
300+
studies
5
Ginkgo Biloba
299+
studies
6
Rubia Cordifolia
200+
studies
7
Areca Catechu
199+
studies
8
Smilax China
142+
studies
All 38 Compounds — Ranked by Evidence
1
Chaenomeles Speciosa
1.00
confidence
2
Morus Alba
1.00
confidence
3
Panax Ginseng
300+
studies
1.00
confidence
4
Rubia Cordifolia
200+
studies
1.00
confidence
5
Scutellaria Baicalensis
1.00
confidence
6
Smilax Glabra
1.00
confidence
7
Vigna Umbellata
1.00
confidence
8
Aconitum Carmichaelii
0.50
confidence
9
Aloe Vera
0.50
confidence
10
Areca Catechu
199+
studies
0.50
confidence
11
Belamcanda Chinensis
0.50
confidence
12
Bupleurum Chinense
0.50
confidence
13
Coix Lacryma
0.50
confidence
14
Cuscuta Chinensis
0.50
confidence
15
Eucommia Ulmoides
0.50
confidence
16
Eupatorium Fortunei
0.50
confidence
17
Forsythia Suspensa
0.50
confidence
18
Ginkgo Biloba
299+
studies
0.50
confidence
19
Glycine Max
0.50
confidence
20
Leonurus Japonicus
0.50
confidence
21
Litchi Chinensis
0.50
confidence
22
Lobelia Chinensis
0.50
confidence
23
Lonicera Japonica
0.50
confidence
24
Panax Notoginseng
0.50
confidence
25
Perilla Frutescens
0.50
confidence
26
Peucedanum Praeruptorum
0.50
confidence
27
Pinellia Ternata
0.50
confidence
28
Polygonum Cuspidatum
0.50
confidence
29
Portulaca Oleracea
500+
studies
0.50
confidence
30
Prunus Persica
0.50
confidence
31
Quisqualis Indica
0.50
confidence
32
Rehmannia Glutinosa
0.50
confidence
33
Sanguisorba Officinalis
0.50
confidence
34
Sargassum Fusiforme
0.50
confidence
35
Smilax China
142+
studies
0.50
confidence
36
Syzygium Aromaticum
500+
studies
0.50
confidence
37
Verbena Officinalis
0.50
confidence
38
Vitis Vinifera
500+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CNN3 (CNN3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CNN3 target overview · All biological targets · Biological pathways

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