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/GATM/Compounds

Compounds That Target GATM

GATM · 90 compounds in BiohacksAI corpus

GATM (GATM) is a biological target with 90 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 GATM modulation for therapeutic and biohacking applications.

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

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

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

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