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/ABCA3/Compounds

Compounds That Target ABCA3

ABCA3 · 99 compounds in BiohacksAI corpus

ABCA3 (ABCA3) is a biological target with 99 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 ABCA3 modulation for therapeutic and biohacking applications.

View ABCA3 target page →
Most Studied Compounds for ABCA3
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
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
Artemisia Argyi
1.00
confidence
6
Atractylodes Macrocephala
1.00
confidence
7
Bupleurum Chinense
1.00
confidence
8
Centella Asiatica
499+
studies
1.00
confidence
9
Cynomorium Songaricum
1.00
confidence
10
Ephedra Sinica
1.00
confidence
11
Eucommia Ulmoides
1.00
confidence
12
Forsythia Suspensa
1.00
confidence
13
Fritillaria Cirrhosa
1.00
confidence
14
Ginkgo Biloba
299+
studies
1.00
confidence
15
Glycyrrhiza Uralensis
1.00
confidence
16
Lilium Lancifolium
1.00
confidence
17
Litchi Chinensis
1.00
confidence
18
Lobelia Chinensis
1.00
confidence
19
Lonicera Japonica
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
Polygonum Cuspidatum
1.00
confidence
25
Prunella Vulgaris
1.00
confidence
26
Prunus Armeniaca
1.00
confidence
27
Salvia Miltiorrhiza
1.00
confidence
28
Sanguisorba Officinalis
1.00
confidence
29
Sargassum Fusiforme
1.00
confidence
30
Scutellaria Baicalensis
1.00
confidence
31
Smilax China
142+
studies
1.00
confidence
32
Trichosanthes Kirilowii
1.00
confidence
33
Vigna Radiata
1.00
confidence
34
Vigna Umbellata
1.00
confidence
35
Zingiber Officinale
498+
studies
1.00
confidence
36
Achyranthes Bidentata
0.50
confidence
37
Aconitum Carmichaelii
0.50
confidence
38
Albizia Julibrissin
0.50
confidence
39
Apis Mellifera
0.50
confidence
40
Aquilaria Sinensis
0.50
confidence
41
Areca Catechu
199+
studies
0.50
confidence
42
Artemisia Annua
0.50
confidence
43
Artemisia Capillaris
0.50
confidence
44
Asparagus Cochinchinensis
0.50
confidence
45
Aster Tataricus
0.50
confidence
46
Aucklandia Lappa
0.50
confidence
47
Belamcanda Chinensis
0.50
confidence
48
Bombyx Mori
0.50
confidence
49
Carthamus Tinctorius
0.50
confidence
50
Chaenomeles Speciosa
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ABCA3 (ABCA3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ABCA3 target overview · All biological targets · Biological pathways

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