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/GCNA/Compounds

Compounds That Target GCNA

GCNA · 83 compounds in BiohacksAI corpus

GCNA (GCNA) is a biological target with 83 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 GCNA modulation for therapeutic and biohacking applications.

View GCNA target page →
Most Studied Compounds for GCNA
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Centella Asiatica
499+
studies
4
Zingiber Officinale
498+
studies
5
Panax Ginseng
300+
studies
6
Ginkgo Biloba
299+
studies
7
Areca Catechu
199+
studies
8
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Arctium Lappa
1.00
confidence
5
Artemisia Argyi
1.00
confidence
6
Centella Asiatica
499+
studies
1.00
confidence
7
Cynomorium Songaricum
1.00
confidence
8
Ephedra Sinica
1.00
confidence
9
Eucommia Ulmoides
1.00
confidence
10
Forsythia Suspensa
1.00
confidence
11
Fritillaria Cirrhosa
1.00
confidence
12
Ginkgo Biloba
299+
studies
1.00
confidence
13
Lilium Lancifolium
1.00
confidence
14
Litchi Chinensis
1.00
confidence
15
Lobelia Chinensis
1.00
confidence
16
Lonicera Japonica
1.00
confidence
17
Morus Alba
1.00
confidence
18
Nelumbo Nucifera
1.00
confidence
19
Panax Ginseng
300+
studies
1.00
confidence
20
Panax Notoginseng
1.00
confidence
21
Polygonum Cuspidatum
1.00
confidence
22
Prunus Armeniaca
1.00
confidence
23
Salvia Miltiorrhiza
1.00
confidence
24
Sargassum Fusiforme
1.00
confidence
25
Scutellaria Baicalensis
1.00
confidence
26
Smilax China
142+
studies
1.00
confidence
27
Vigna Radiata
1.00
confidence
28
Vigna Umbellata
1.00
confidence
29
Zingiber Officinale
498+
studies
1.00
confidence
30
Achyranthes Bidentata
0.50
confidence
31
Albizia Julibrissin
0.50
confidence
32
Alisma Plantago
0.50
confidence
33
Apis Mellifera
0.50
confidence
34
Aquilaria Sinensis
0.50
confidence
35
Areca Catechu
199+
studies
0.50
confidence
36
Artemisia Annua
0.50
confidence
37
Artemisia Capillaris
0.50
confidence
38
Asparagus Cochinchinensis
0.50
confidence
39
Aster Tataricus
0.50
confidence
40
Atractylodes Macrocephala
0.50
confidence
41
Bombyx Mori
0.50
confidence
42
Bupleurum Chinense
0.50
confidence
43
Carthamus Tinctorius
0.50
confidence
44
Chaenomeles Speciosa
0.50
confidence
45
Citrus Reticulata
0.50
confidence
46
Coix Lacryma
0.50
confidence
47
Commiphora Myrrha
0.50
confidence
48
Corydalis Yanhusuo
0.50
confidence
49
Crataegus Pinnatifida
0.50
confidence
50
Curcuma Longa
500+
studies
0.50
confidence

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

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

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