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/DBNL/Compounds

Compounds That Target DBNL

DBNL · 57 compounds in BiohacksAI corpus

DBNL (DBNL) is a biological target with 57 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 DBNL modulation for therapeutic and biohacking applications.

View DBNL target page →
Most Studied Compounds for DBNL
1
Curcuma Longa
500+
studies
2
Juglans Regia
500+
studies
3
Panax Ginseng
300+
studies
4
Ginkgo Biloba
299+
studies
5
Rubia Cordifolia
200+
studies
6
Areca Catechu
199+
studies
7
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Atractylodes Macrocephala
1.00
confidence
2
Bombyx Mori
1.00
confidence
3
Chaenomeles Speciosa
1.00
confidence
4
Ginkgo Biloba
299+
studies
1.00
confidence
5
Lonicera Japonica
1.00
confidence
6
Morus Alba
1.00
confidence
7
Panax Ginseng
300+
studies
1.00
confidence
8
Perilla Frutescens
1.00
confidence
9
Poria Cocos
1.00
confidence
10
Rubia Cordifolia
200+
studies
1.00
confidence
11
Scutellaria Baicalensis
1.00
confidence
12
Smilax China
142+
studies
1.00
confidence
13
Smilax Glabra
1.00
confidence
14
Vigna Umbellata
1.00
confidence
15
Alisma Plantago
0.50
confidence
16
Aloe Vera
0.50
confidence
17
Apis Mellifera
0.50
confidence
18
Areca Catechu
199+
studies
0.50
confidence
19
Artemisia Capillaris
0.50
confidence
20
Belamcanda Chinensis
0.50
confidence
21
Bupleurum Chinense
0.50
confidence
22
Carthamus Tinctorius
0.50
confidence
23
Citrus Reticulata
0.50
confidence
24
Coix Lacryma
0.50
confidence
25
Crataegus Pinnatifida
0.50
confidence
26
Curcuma Longa
500+
studies
0.50
confidence
27
Cuscuta Chinensis
0.50
confidence
28
Epimedium Brevicornum
0.50
confidence
29
Eriobotrya Japonica
0.50
confidence
30
Eucommia Ulmoides
0.50
confidence
31
Glycine Max
0.50
confidence
32
Hirudo Nipponia
0.50
confidence
33
Inula Japonica
0.50
confidence
34
Juglans Regia
500+
studies
0.50
confidence
35
Leonurus Japonicus
0.50
confidence
36
Ligusticum Chuanxiong
0.50
confidence
37
Lindera Aggregata
0.50
confidence
38
Litchi Chinensis
0.50
confidence
39
Mentha Haplocalyx
0.50
confidence
40
Peucedanum Praeruptorum
0.50
confidence
41
Piper Nigrum
0.50
confidence
42
Polygonum Cuspidatum
0.50
confidence
43
Prunella Vulgaris
0.50
confidence
44
Prunus Armeniaca
0.50
confidence
45
Prunus Mume
0.50
confidence
46
Prunus Persica
0.50
confidence
47
Rehmannia Glutinosa
0.50
confidence
48
Sargassum Fusiforme
0.50
confidence
49
Schisandra Chinensis
0.50
confidence
50
Scolopendra Subspinipes
0.50
confidence

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

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

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