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/ASB13/Compounds

Compounds That Target ASB13

ASB13 · 59 compounds in BiohacksAI corpus

ASB13 (ASB13) is a biological target with 59 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 ASB13 modulation for therapeutic and biohacking applications.

View ASB13 target page →
Most Studied Compounds for ASB13
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Centella Asiatica
499+
studies
4
Zingiber Officinale
498+
studies
5
Panax Ginseng
300+
studies
6
Ginkgo Biloba
299+
studies
7
Rubia Cordifolia
200+
studies
8
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
1.00
confidence
2
Arctium Lappa
1.00
confidence
3
Artemisia Argyi
1.00
confidence
4
Artemisia Capillaris
1.00
confidence
5
Atractylodes Macrocephala
1.00
confidence
6
Centella Asiatica
499+
studies
1.00
confidence
7
Chaenomeles Speciosa
1.00
confidence
8
Citrus Reticulata
1.00
confidence
9
Crataegus Pinnatifida
1.00
confidence
10
Curcuma Longa
500+
studies
1.00
confidence
11
Eupatorium Fortunei
1.00
confidence
12
Forsythia Suspensa
1.00
confidence
13
Ginkgo Biloba
299+
studies
1.00
confidence
14
Lonicera Japonica
1.00
confidence
15
Magnolia Biondii
1.00
confidence
16
Morus Alba
1.00
confidence
17
Nelumbo Nucifera
1.00
confidence
18
Panax Ginseng
300+
studies
1.00
confidence
19
Perilla Frutescens
1.00
confidence
20
Pinellia Ternata
1.00
confidence
21
Prunus Armeniaca
1.00
confidence
22
Prunus Mume
1.00
confidence
23
Rubia Cordifolia
200+
studies
1.00
confidence
24
Schisandra Chinensis
1.00
confidence
25
Scutellaria Baicalensis
1.00
confidence
26
Smilax Glabra
1.00
confidence
27
Taxillus Chinensis
1.00
confidence
28
Vigna Umbellata
1.00
confidence
29
Zingiber Officinale
498+
studies
1.00
confidence
30
Achyranthes Bidentata
0.50
confidence
31
Aconitum Carmichaelii
0.50
confidence
32
Aloe Vera
0.50
confidence
33
Aquilaria Sinensis
0.50
confidence
34
Areca Catechu
199+
studies
0.50
confidence
35
Belamcanda Chinensis
0.50
confidence
36
Bupleurum Chinense
0.50
confidence
37
Cimicifuga Heracleifolia
0.50
confidence
38
Ephedra Sinica
0.50
confidence
39
Euryale Ferox
0.50
confidence
40
Gentiana Macrophylla
0.50
confidence
41
Glycine Max
0.50
confidence
42
Glycyrrhiza Uralensis
0.50
confidence
43
Litchi Chinensis
0.50
confidence
44
Lithospermum Erythrorhizon
0.50
confidence
45
Lobelia Chinensis
0.50
confidence
46
Mentha Haplocalyx
0.50
confidence
47
Paeonia Lactiflora
0.50
confidence
48
Paeonia Suffruticosa
0.50
confidence
49
Panax Notoginseng
0.50
confidence
50
Peucedanum Praeruptorum
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ASB13 (ASB13). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ASB13 target overview · All biological targets · Biological pathways

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