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/AMACR/Compounds

Compounds That Target AMACR

AMACR · 89 compounds in BiohacksAI corpus

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

View AMACR target page →
Most Studied Compounds for AMACR
1
Curcuma Longa
500+
studies
2
Allium Sativum
500+
studies
3
Centella Asiatica
499+
studies
4
Foeniculum Vulgare
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
1.00
confidence
2
Agastache Rugosa
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Arctium Lappa
1.00
confidence
5
Artemisia Argyi
1.00
confidence
6
Artemisia Capillaris
1.00
confidence
7
Atractylodes Macrocephala
1.00
confidence
8
Bletilla Striata
1.00
confidence
9
Bombyx Mori
1.00
confidence
10
Centella Asiatica
499+
studies
1.00
confidence
11
Citrus Reticulata
1.00
confidence
12
Curcuma Longa
500+
studies
1.00
confidence
13
Ephedra Sinica
1.00
confidence
14
Foeniculum Vulgare
499+
studies
1.00
confidence
15
Fritillaria Cirrhosa
1.00
confidence
16
Ginkgo Biloba
299+
studies
1.00
confidence
17
Glycine Max
1.00
confidence
18
Inula Japonica
1.00
confidence
19
Lithospermum Erythrorhizon
1.00
confidence
20
Morus Alba
1.00
confidence
21
Nelumbo Nucifera
1.00
confidence
22
Panax Ginseng
300+
studies
1.00
confidence
23
Panax Notoginseng
1.00
confidence
24
Prunella Vulgaris
1.00
confidence
25
Prunus Persica
1.00
confidence
26
Salvia Miltiorrhiza
1.00
confidence
27
Schisandra Chinensis
1.00
confidence
28
Smilax Glabra
1.00
confidence
29
Sophora Flavescens
1.00
confidence
30
Taraxacum Mongolicum
1.00
confidence
31
Zingiber Officinale
498+
studies
1.00
confidence
32
Aconitum Carmichaelii
0.50
confidence
33
Allium Fistulosum
0.50
confidence
34
Allium Sativum
500+
studies
0.50
confidence
35
Allium Tuberosum
0.50
confidence
36
Apis Mellifera
0.50
confidence
37
Aquilaria Sinensis
0.50
confidence
38
Areca Catechu
199+
studies
0.50
confidence
39
Artemisia Annua
0.50
confidence
40
Aucklandia Lappa
0.50
confidence
41
Bupleurum Chinense
0.50
confidence
42
Carthamus Tinctorius
0.50
confidence
43
Chaenomeles Speciosa
0.50
confidence
44
Cimicifuga Heracleifolia
0.50
confidence
45
Cnidium Monnieri
0.50
confidence
46
Commiphora Myrrha
0.50
confidence
47
Crataegus Pinnatifida
0.50
confidence
48
Dendrobium Nobile
0.50
confidence
49
Epimedium Brevicornum
0.50
confidence
50
Eriobotrya Japonica
0.50
confidence

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

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

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