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BiohacksAI/Targets/CDC37/Compounds

Compounds That Target CDC37

cell division cycle 37, HSP90 cochaperone · 99 compounds in BiohacksAI corpus

CDC37 (cell division cycle 37, HSP90 cochaperone) is a biological target with 99 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 CDC37 modulation for therapeutic and biohacking applications.

View CDC37 target page →UniProt: Q16543 ↗
Most Studied Compounds for CDC37
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Centella Asiatica
499+
studies
4
Zingiber Officinale
498+
studies
5
Celastrol
300+
studies
6
Panax Ginseng
300+
studies
7
Geldanamycin
300+
studies
8
Ginkgo Biloba
299+
studies
9
Areca Catechu
199+
studies
10
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Celastrol
300+
studies
1.10
confidence
2
Agastache Rugosa
1.00
confidence
3
Allium Sativum
500+
studies
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Arctium Lappa
1.00
confidence
6
Centella Asiatica
499+
studies
1.00
confidence
7
Curcuma Longa
500+
studies
1.00
confidence
8
Cynomorium Songaricum
1.00
confidence
9
Ephedra Sinica
1.00
confidence
10
Eucommia Ulmoides
1.00
confidence
11
Forsythia Suspensa
1.00
confidence
12
Fritillaria Cirrhosa
1.00
confidence
13
Ginkgo Biloba
299+
studies
1.00
confidence
14
Lilium Lancifolium
1.00
confidence
15
Litchi Chinensis
1.00
confidence
16
Lobelia Chinensis
1.00
confidence
17
Lonicera Japonica
1.00
confidence
18
Morus Alba
1.00
confidence
19
Nelumbo Nucifera
1.00
confidence
20
Panax Ginseng
300+
studies
1.00
confidence
21
Panax Notoginseng
1.00
confidence
22
Polygonum Cuspidatum
1.00
confidence
23
Prunus Armeniaca
1.00
confidence
24
Salvia Miltiorrhiza
1.00
confidence
25
Sargassum Fusiforme
1.00
confidence
26
Scutellaria Baicalensis
1.00
confidence
27
Smilax China
142+
studies
1.00
confidence
28
Vigna Radiata
1.00
confidence
29
Vigna Umbellata
1.00
confidence
30
Zingiber Officinale
498+
studies
1.00
confidence
31
Geldanamycin
300+
studies
0.69
confidence
32
Achyranthes Bidentata
0.50
confidence
33
Aconitum Carmichaelii
0.50
confidence
34
Albizia Julibrissin
0.50
confidence
35
Anemarrhena Asphodeloides
0.50
confidence
36
Apis Mellifera
0.50
confidence
37
Aquilaria Sinensis
0.50
confidence
38
Areca Catechu
199+
studies
0.50
confidence
39
Artemisia Annua
0.50
confidence
40
Artemisia Argyi
0.50
confidence
41
Artemisia Capillaris
0.50
confidence
42
Asparagus Cochinchinensis
0.50
confidence
43
Aster Tataricus
0.50
confidence
44
Aucklandia Lappa
0.50
confidence
45
Belamcanda Chinensis
0.50
confidence
46
Bombyx Mori
0.50
confidence
47
Bupleurum Chinense
0.50
confidence
48
Carthamus Tinctorius
0.50
confidence
49
Chaenomeles Speciosa
0.50
confidence
50
Cimicifuga Heracleifolia
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CDC37 (cell division cycle 37, HSP90 cochaperone). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CDC37 target overview · All biological targets · Biological pathways

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