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/CD3D/Compounds

Compounds That Target CD3D

CD3D · 89 compounds in BiohacksAI corpus

CD3D (CD3D) 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 CD3D modulation for therapeutic and biohacking applications.

View CD3D target page →
Most Studied Compounds for CD3D
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Syzygium Aromaticum
500+
studies
4
Centella Asiatica
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Areca Catechu
199+
studies
9
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Arctium Lappa
1.00
confidence
5
Artemisia Capillaris
1.00
confidence
6
Centella Asiatica
499+
studies
1.00
confidence
7
Cimicifuga Heracleifolia
1.00
confidence
8
Citrus Reticulata
1.00
confidence
9
Crataegus Pinnatifida
1.00
confidence
10
Curcuma Longa
500+
studies
1.00
confidence
11
Cynomorium Songaricum
1.00
confidence
12
Ephedra Sinica
1.00
confidence
13
Eucommia Ulmoides
1.00
confidence
14
Forsythia Suspensa
1.00
confidence
15
Fritillaria Cirrhosa
1.00
confidence
16
Ginkgo Biloba
299+
studies
1.00
confidence
17
Ligusticum Chuanxiong
1.00
confidence
18
Lilium Lancifolium
1.00
confidence
19
Litchi Chinensis
1.00
confidence
20
Lithospermum Erythrorhizon
1.00
confidence
21
Lobelia Chinensis
1.00
confidence
22
Lonicera Japonica
1.00
confidence
23
Mentha Haplocalyx
1.00
confidence
24
Morus Alba
1.00
confidence
25
Nelumbo Nucifera
1.00
confidence
26
Panax Ginseng
300+
studies
1.00
confidence
27
Panax Notoginseng
1.00
confidence
28
Perilla Frutescens
1.00
confidence
29
Polygonum Cuspidatum
1.00
confidence
30
Prunella Vulgaris
1.00
confidence
31
Prunus Armeniaca
1.00
confidence
32
Prunus Mume
1.00
confidence
33
Salvia Miltiorrhiza
1.00
confidence
34
Sargassum Fusiforme
1.00
confidence
35
Scutellaria Baicalensis
1.00
confidence
36
Smilax China
142+
studies
1.00
confidence
37
Smilax Glabra
1.00
confidence
38
Syzygium Aromaticum
500+
studies
1.00
confidence
39
Tussilago Farfara
1.00
confidence
40
Uncaria Rhynchophylla
1.00
confidence
41
Vigna Radiata
1.00
confidence
42
Vigna Umbellata
1.00
confidence
43
Zingiber Officinale
498+
studies
1.00
confidence
44
Ziziphus Jujuba
1.00
confidence
45
Achyranthes Bidentata
0.50
confidence
46
Aconitum Carmichaelii
0.50
confidence
47
Albizia Julibrissin
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 CD3D (CD3D). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CD3D target overview · All biological targets · Biological pathways

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