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.
BiohacksAI is an evolving scientific literature platform. New compounds and evidence are indexed continuously.
B
MOLECULAR TARGET

CCNY

CCNY

19 compounds · BiohacksAI corpus v20260307-01

19
compounds
Compounds
19
Gene Symbol
CCNY
NCBI Gene

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About CCNY

CCNY (CCNY) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 19 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

Compounds Targeting CCNY (19)
1
Panax Notoginseng
0.50
confidence
2
Pinellia Ternata
0.50
confidence
3
Prunus Armeniaca
0.50
confidence
4
Prunus Mume
0.50
confidence
5
Sargassum Fusiforme
0.50
confidence
6
Smilax Glabra
0.50
confidence
7
Stemona Sessilifolia
0.50
confidence
8
Vigna Radiata
0.50
confidence
9
Aloe Vera
0.50
confidence
10
Arctium Lappa
0.50
confidence
199
studies
0.50
confidence
12
Atractylodes Macrocephala
0.50
confidence
13
Carthamus Tinctorius
0.50
confidence
14
Chaenomeles Speciosa
0.50
confidence
15
Citrus Reticulata
0.50
confidence
16
Eriobotrya Japonica
0.50
confidence
17
Euryale Ferox
0.50
confidence
18
Glycine Max
0.50
confidence
500
studies
0.50
confidence
Top 19 compounds by confidence score. Derived from BindingDB assay data.
Data Source
Corpusv20260307-01
SourceBindingDB · ChEMBL · PubMed

All data is computationally derived from published research. Not medical advice. Independent validation required.