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/DDIT4L/Compounds

Compounds That Target DDIT4L

DDIT4L · 35 compounds in BiohacksAI corpus

DDIT4L (DDIT4L) is a biological target with 35 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 DDIT4L modulation for therapeutic and biohacking applications.

View DDIT4L target page →
Most Studied Compounds for DDIT4L
1
Juglans Regia
500+
studies
2
Ginkgo Biloba
299+
studies
All 35 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
0.50
confidence
2
Allium Fistulosum
0.50
confidence
3
Aquilaria Sinensis
0.50
confidence
4
Arctium Lappa
0.50
confidence
5
Artemisia Argyi
0.50
confidence
6
Bupleurum Chinense
0.50
confidence
7
Cimicifuga Heracleifolia
0.50
confidence
8
Citrus Reticulata
0.50
confidence
9
Cnidium Monnieri
0.50
confidence
10
Coix Lacryma
0.50
confidence
11
Dendrobium Nobile
0.50
confidence
12
Ephedra Sinica
0.50
confidence
13
Eriobotrya Japonica
0.50
confidence
14
Eucommia Ulmoides
0.50
confidence
15
Ginkgo Biloba
299+
studies
0.50
confidence
16
Glycine Max
0.50
confidence
17
Juglans Regia
500+
studies
0.50
confidence
18
Leonurus Japonicus
0.50
confidence
19
Ligusticum Chuanxiong
0.50
confidence
20
Morinda Officinalis
0.50
confidence
21
Morus Alba
0.50
confidence
22
Mosla Chinensis
0.50
confidence
23
Paeonia Lactiflora
0.50
confidence
24
Panax Notoginseng
0.50
confidence
25
Perilla Frutescens
0.50
confidence
26
Pinellia Ternata
0.50
confidence
27
Prunus Armeniaca
0.50
confidence
28
Prunus Mume
0.50
confidence
29
Prunus Persica
0.50
confidence
30
Saposhnikovia Divaricata
0.50
confidence
31
Scolopendra Subspinipes
0.50
confidence
32
Trichosanthes Kirilowii
0.50
confidence
33
Tussilago Farfara
0.50
confidence
34
Uncaria Rhynchophylla
0.50
confidence
35
Ziziphus Jujuba
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DDIT4L (DDIT4L). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DDIT4L target overview · All biological targets · Biological pathways

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