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/AMT/Compounds

Compounds That Target AMT

AMT · 101 compounds in BiohacksAI corpus

AMT (AMT) is a biological target with 101 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 AMT modulation for therapeutic and biohacking applications.

View AMT target page →
Most Studied Compounds for AMT
1
Allium Sativum
500+
studies
2
Centella Asiatica
499+
studies
3
Zingiber Officinale
498+
studies
4
Panax Ginseng
300+
studies
5
Ginkgo Biloba
299+
studies
6
Areca Catechu
199+
studies
7
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Arctium Lappa
1.00
confidence
4
Centella Asiatica
499+
studies
1.00
confidence
5
Cynomorium Songaricum
1.00
confidence
6
Ephedra Sinica
1.00
confidence
7
Eucommia Ulmoides
1.00
confidence
8
Forsythia Suspensa
1.00
confidence
9
Fritillaria Cirrhosa
1.00
confidence
10
Ginkgo Biloba
299+
studies
1.00
confidence
11
Ligusticum Chuanxiong
1.00
confidence
12
Lilium Lancifolium
1.00
confidence
13
Litchi Chinensis
1.00
confidence
14
Lobelia Chinensis
1.00
confidence
15
Lonicera Japonica
1.00
confidence
16
Morus Alba
1.00
confidence
17
Nelumbo Nucifera
1.00
confidence
18
Panax Ginseng
300+
studies
1.00
confidence
19
Panax Notoginseng
1.00
confidence
20
Polygonum Cuspidatum
1.00
confidence
21
Prunus Armeniaca
1.00
confidence
22
Rehmannia Glutinosa
1.00
confidence
23
Salvia Miltiorrhiza
1.00
confidence
24
Sargassum Fusiforme
1.00
confidence
25
Scutellaria Baicalensis
1.00
confidence
26
Smilax China
142+
studies
1.00
confidence
27
Vigna Radiata
1.00
confidence
28
Vigna Umbellata
1.00
confidence
29
Zingiber Officinale
498+
studies
1.00
confidence
30
Ziziphus Jujuba
1.00
confidence
31
Achyranthes Bidentata
0.50
confidence
32
Aconitum Carmichaelii
0.50
confidence
33
Agastache Rugosa
0.50
confidence
34
Albizia Julibrissin
0.50
confidence
35
Allium Fistulosum
0.50
confidence
36
Allium Tuberosum
0.50
confidence
37
Anemarrhena Asphodeloides
0.50
confidence
38
Apis Mellifera
0.50
confidence
39
Aquilaria Sinensis
0.50
confidence
40
Areca Catechu
199+
studies
0.50
confidence
41
Artemisia Annua
0.50
confidence
42
Artemisia Argyi
0.50
confidence
43
Artemisia Capillaris
0.50
confidence
44
Asparagus Cochinchinensis
0.50
confidence
45
Aster Tataricus
0.50
confidence
46
Atractylodes Macrocephala
0.50
confidence
47
Aucklandia Lappa
0.50
confidence
48
Belamcanda Chinensis
0.50
confidence
49
Bombyx Mori
0.50
confidence
50
Bupleurum Chinense
0.50
confidence

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

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

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