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/ABAT/Compounds

Compounds That Target ABAT

4-aminobutyrate aminotransferase · 81 compounds in BiohacksAI corpus

ABAT (4-aminobutyrate aminotransferase) is a biological target with 81 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 ABAT modulation for therapeutic and biohacking applications.

View ABAT target page →UniProt: P80404 ↗
Most Studied Compounds for ABAT
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Syzygium Aromaticum
500+
studies
4
Panax Ginseng
300+
studies
5
Ginkgo Biloba
299+
studies
6
Valproic Acid
296+
studies
7
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Vanillin
3.99
confidence
2
4 Hydroxybenzaldehyde
3.83
confidence
3
Allium Sativum
500+
studies
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Artemisia Annua
1.00
confidence
6
Carthamus Tinctorius
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
Eucommia Ulmoides
1.00
confidence
12
Agastache Rugosa
1.00
confidence
13
Fritillaria Cirrhosa
1.00
confidence
14
Gastrodia Elata
1.00
confidence
15
Ginkgo Biloba
299+
studies
1.00
confidence
16
Glycyrrhiza Uralensis
1.00
confidence
17
Lobelia Chinensis
1.00
confidence
18
Morus Alba
1.00
confidence
19
Nelumbo Nucifera
1.00
confidence
20
Panax Ginseng
300+
studies
1.00
confidence
21
Panax Notoginseng
1.00
confidence
22
Perilla Frutescens
1.00
confidence
23
Prunus Persica
1.00
confidence
24
Rehmannia Glutinosa
1.00
confidence
25
Schisandra Chinensis
1.00
confidence
26
Scrophularia Ningpoensis
1.00
confidence
27
Scutellaria Baicalensis
1.00
confidence
28
Syzygium Aromaticum
500+
studies
1.00
confidence
29
Taraxacum Mongolicum
1.00
confidence
30
Trichosanthes Kirilowii
1.00
confidence
31
Vigna Umbellata
1.00
confidence
32
Valproic Acid
296+
studies
0.69
confidence
33
Corydalis Yanhusuo
0.50
confidence
34
Achyranthes Bidentata
0.50
confidence
35
Aconitum Carmichaelii
0.50
confidence
36
Allium Fistulosum
0.50
confidence
37
Anemarrhena Asphodeloides
0.50
confidence
38
Apis Mellifera
0.50
confidence
39
Arctium Lappa
0.50
confidence
40
Areca Catechu
199+
studies
0.50
confidence
41
Artemisia Capillaris
0.50
confidence
42
Asparagus Cochinchinensis
0.50
confidence
43
Aster Tataricus
0.50
confidence
44
Atractylodes Macrocephala
0.50
confidence
45
Belamcanda Chinensis
0.50
confidence
46
Bletilla Striata
0.50
confidence
47
Bombyx Mori
0.50
confidence
48
Bupleurum Chinense
0.50
confidence
49
Coix Lacryma
0.50
confidence
50
Commiphora Myrrha
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ABAT (4-aminobutyrate aminotransferase). Confidence scores reflect the strength and breadth of experimental evidence.

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

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