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/ACMSD/Compounds

Compounds That Target ACMSD

2-amino-3-carboxymuconate-6-semialdehyde decarboxylase · 106 compounds in BiohacksAI corpus

ACMSD (2-amino-3-carboxymuconate-6-semialdehyde decarboxylase) is a biological target with 106 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 ACMSD modulation for therapeutic and biohacking applications.

View ACMSD target page →
Most Studied Compounds for ACMSD
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Syzygium Aromaticum
500+
studies
4
Centella Asiatica
499+
studies
5
Foeniculum Vulgare
499+
studies
6
Zingiber Officinale
498+
studies
7
Panax Ginseng
300+
studies
8
Ginkgo Biloba
299+
studies
9
Rubia Cordifolia
200+
studies
All 50 Compounds — Ranked by Evidence
1
Diflunisal
4.17
confidence
2
Agastache Rugosa
1.00
confidence
3
Allium Sativum
500+
studies
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Apis Mellifera
1.00
confidence
6
Arctium Lappa
1.00
confidence
7
Artemisia Argyi
1.00
confidence
8
Artemisia Capillaris
1.00
confidence
9
Aster Tataricus
1.00
confidence
10
Atractylodes Macrocephala
1.00
confidence
11
Centella Asiatica
499+
studies
1.00
confidence
12
Chaenomeles Speciosa
1.00
confidence
13
Citrus Reticulata
1.00
confidence
14
Cnidium Monnieri
1.00
confidence
15
Commiphora Myrrha
1.00
confidence
16
Crataegus Pinnatifida
1.00
confidence
17
Curcuma Longa
500+
studies
1.00
confidence
18
Cuscuta Chinensis
1.00
confidence
19
Ephedra Sinica
1.00
confidence
20
Eucommia Ulmoides
1.00
confidence
21
Eupatorium Fortunei
1.00
confidence
22
Foeniculum Vulgare
499+
studies
1.00
confidence
23
Forsythia Suspensa
1.00
confidence
24
Ginkgo Biloba
299+
studies
1.00
confidence
25
Glycine Max
1.00
confidence
26
Ligusticum Chuanxiong
1.00
confidence
27
Lobelia Chinensis
1.00
confidence
28
Lonicera Japonica
1.00
confidence
29
Magnolia Biondii
1.00
confidence
30
Mosla Chinensis
1.00
confidence
31
Nelumbo Nucifera
1.00
confidence
32
Panax Ginseng
300+
studies
1.00
confidence
33
Panax Notoginseng
1.00
confidence
34
Perilla Frutescens
1.00
confidence
35
Pinellia Ternata
1.00
confidence
36
Piper Nigrum
1.00
confidence
37
Prunus Armeniaca
1.00
confidence
38
Prunus Mume
1.00
confidence
39
Prunus Persica
1.00
confidence
40
Rehmannia Glutinosa
1.00
confidence
41
Rubia Cordifolia
200+
studies
1.00
confidence
42
Schisandra Chinensis
1.00
confidence
43
Scutellaria Baicalensis
1.00
confidence
44
Syzygium Aromaticum
500+
studies
1.00
confidence
45
Taxillus Chinensis
1.00
confidence
46
Zingiber Officinale
498+
studies
1.00
confidence
47
Ziziphus Jujuba
1.00
confidence
48
Achyranthes Bidentata
0.50
confidence
49
Aconitum Carmichaelii
0.50
confidence
50
Albizia Julibrissin
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ACMSD (2-amino-3-carboxymuconate-6-semialdehyde decarboxylase). Confidence scores reflect the strength and breadth of experimental evidence.

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

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