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/DDX4/Compounds

Compounds That Target DDX4

DDX4 · 89 compounds in BiohacksAI corpus

DDX4 (DDX4) is a biological target with 89 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 DDX4 modulation for therapeutic and biohacking applications.

View DDX4 target page →
Most Studied Compounds for DDX4
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Allium Sativum
500+
studies
4
Juglans Regia
500+
studies
5
Centella Asiatica
499+
studies
6
Foeniculum Vulgare
499+
studies
7
Zingiber Officinale
498+
studies
8
Panax Ginseng
300+
studies
9
Ginkgo Biloba
299+
studies
10
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Artemisia Capillaris
1.00
confidence
3
Citrus Reticulata
1.00
confidence
4
Curcuma Longa
500+
studies
1.00
confidence
5
Ephedra Sinica
1.00
confidence
6
Lycopus Lucidus
1.00
confidence
7
Magnolia Biondii
1.00
confidence
8
Morus Alba
1.00
confidence
9
Panax Ginseng
300+
studies
1.00
confidence
10
Perilla Frutescens
1.00
confidence
11
Portulaca Oleracea
500+
studies
1.00
confidence
12
Rehmannia Glutinosa
1.00
confidence
13
Zingiber Officinale
498+
studies
1.00
confidence
14
Ziziphus Jujuba
1.00
confidence
15
Aconitum Carmichaelii
0.50
confidence
16
Alisma Plantago
0.50
confidence
17
Allium Sativum
500+
studies
0.50
confidence
18
Allium Tuberosum
0.50
confidence
19
Aloe Vera
0.50
confidence
20
Apis Mellifera
0.50
confidence
21
Aquilaria Sinensis
0.50
confidence
22
Arctium Lappa
0.50
confidence
23
Areca Catechu
199+
studies
0.50
confidence
24
Artemisia Annua
0.50
confidence
25
Artemisia Argyi
0.50
confidence
26
Atractylodes Macrocephala
0.50
confidence
27
Bombyx Mori
0.50
confidence
28
Bupleurum Chinense
0.50
confidence
29
Carthamus Tinctorius
0.50
confidence
30
Centella Asiatica
499+
studies
0.50
confidence
31
Coix Lacryma
0.50
confidence
32
Commiphora Myrrha
0.50
confidence
33
Crataegus Pinnatifida
0.50
confidence
34
Cuscuta Chinensis
0.50
confidence
35
Eriobotrya Japonica
0.50
confidence
36
Eucommia Ulmoides
0.50
confidence
37
Eupatorium Fortunei
0.50
confidence
38
Euryale Ferox
0.50
confidence
39
Foeniculum Vulgare
499+
studies
0.50
confidence
40
Forsythia Suspensa
0.50
confidence
41
Fritillaria Cirrhosa
0.50
confidence
42
Gastrodia Elata
0.50
confidence
43
Ginkgo Biloba
299+
studies
0.50
confidence
44
Glycine Max
0.50
confidence
45
Glycyrrhiza Uralensis
0.50
confidence
46
Hirudo Nipponia
0.50
confidence
47
Juglans Regia
500+
studies
0.50
confidence
48
Leonurus Japonicus
0.50
confidence
49
Ligusticum Chuanxiong
0.50
confidence
50
Lindera Aggregata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DDX4 (DDX4). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DDX4 target overview · All biological targets · Biological pathways

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