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
○
BiohacksAI/Targets/CDC27/Compounds

Compounds That Target CDC27

CDC27 · 103 compounds in BiohacksAI corpus

CDC27 (CDC27) is a biological target with 103 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 CDC27 modulation for therapeutic and biohacking applications.

View CDC27 target page →
Most Studied Compounds for CDC27
1
Allium Sativum
500+
studies
2
Raphanus Sativus
500+
studies
3
Centella Asiatica
499+
studies
4
Foeniculum Vulgare
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Rubia Cordifolia
200+
studies
9
Areca Catechu
199+
studies
10
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Arctium Lappa
1.00
confidence
5
Centella Asiatica
499+
studies
1.00
confidence
6
Chaenomeles Speciosa
1.00
confidence
7
Cimicifuga Heracleifolia
1.00
confidence
8
Citrus Reticulata
1.00
confidence
9
Cynomorium Songaricum
1.00
confidence
10
Ephedra Sinica
1.00
confidence
11
Eucommia Ulmoides
1.00
confidence
12
Foeniculum Vulgare
499+
studies
1.00
confidence
13
Forsythia Suspensa
1.00
confidence
14
Fritillaria Cirrhosa
1.00
confidence
15
Ginkgo Biloba
299+
studies
1.00
confidence
16
Glycine Max
1.00
confidence
17
Lilium Lancifolium
1.00
confidence
18
Litchi Chinensis
1.00
confidence
19
Lobelia Chinensis
1.00
confidence
20
Lonicera Japonica
1.00
confidence
21
Morus Alba
1.00
confidence
22
Nelumbo Nucifera
1.00
confidence
23
Panax Ginseng
300+
studies
1.00
confidence
24
Panax Notoginseng
1.00
confidence
25
Perilla Frutescens
1.00
confidence
26
Polygonum Cuspidatum
1.00
confidence
27
Prunus Armeniaca
1.00
confidence
28
Raphanus Sativus
500+
studies
1.00
confidence
29
Rehmannia Glutinosa
1.00
confidence
30
Rubia Cordifolia
200+
studies
1.00
confidence
31
Salvia Miltiorrhiza
1.00
confidence
32
Sargassum Fusiforme
1.00
confidence
33
Schisandra Chinensis
1.00
confidence
34
Scutellaria Baicalensis
1.00
confidence
35
Smilax China
142+
studies
1.00
confidence
36
Smilax Glabra
1.00
confidence
37
Stemona Sessilifolia
1.00
confidence
38
Taraxacum Mongolicum
1.00
confidence
39
Vigna Radiata
1.00
confidence
40
Vigna Umbellata
1.00
confidence
41
Zingiber Officinale
498+
studies
1.00
confidence
42
Ziziphus Jujuba
1.00
confidence
43
Aconitum Carmichaelii
0.50
confidence
44
Agastache Rugosa
0.50
confidence
45
Albizia Julibrissin
0.50
confidence
46
Alisma Plantago
0.50
confidence
47
Allium Fistulosum
0.50
confidence
48
Apis Mellifera
0.50
confidence
49
Aquilaria Sinensis
0.50
confidence
50
Areca Catechu
199+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CDC27 (CDC27). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CDC27 target overview · All biological targets · Biological pathways

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