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BiohacksAI/Targets/ACSL3/Compounds

Compounds That Target ACSL3

ACSL3 · 114 compounds in BiohacksAI corpus

ACSL3 (ACSL3) is a biological target with 114 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 ACSL3 modulation for therapeutic and biohacking applications.

View ACSL3 target page →
Most Studied Compounds for ACSL3
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Raphanus Sativus
500+
studies
5
Centella Asiatica
499+
studies
6
Foeniculum Vulgare
499+
studies
7
Panax Ginseng
300+
studies
8
Ginkgo Biloba
299+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Allium Tuberosum
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Artemisia Argyi
1.00
confidence
6
Artemisia Capillaris
1.00
confidence
7
Aster Tataricus
1.00
confidence
8
Atractylodes Macrocephala
1.00
confidence
9
Bupleurum Chinense
1.00
confidence
10
Carthamus Tinctorius
1.00
confidence
11
Centella Asiatica
499+
studies
1.00
confidence
12
Chaenomeles Speciosa
1.00
confidence
13
Citrus Reticulata
1.00
confidence
14
Crataegus Pinnatifida
1.00
confidence
15
Curcuma Longa
500+
studies
1.00
confidence
16
Cuscuta Chinensis
1.00
confidence
17
Cynomorium Songaricum
1.00
confidence
18
Ephedra Sinica
1.00
confidence
19
Eriobotrya Japonica
1.00
confidence
20
Eucommia Ulmoides
1.00
confidence
21
Foeniculum Vulgare
499+
studies
1.00
confidence
22
Forsythia Suspensa
1.00
confidence
23
Gastrodia Elata
1.00
confidence
24
Ginkgo Biloba
299+
studies
1.00
confidence
25
Glycine Max
1.00
confidence
26
Glycyrrhiza Uralensis
1.00
confidence
27
Ligusticum Chuanxiong
1.00
confidence
28
Litchi Chinensis
1.00
confidence
29
Lithospermum Erythrorhizon
1.00
confidence
30
Lobelia Chinensis
1.00
confidence
31
Lonicera Japonica
1.00
confidence
32
Morus Alba
1.00
confidence
33
Nelumbo Nucifera
1.00
confidence
34
Paeonia Lactiflora
1.00
confidence
35
Panax Ginseng
300+
studies
1.00
confidence
36
Panax Notoginseng
1.00
confidence
37
Perilla Frutescens
1.00
confidence
38
Pinellia Ternata
1.00
confidence
39
Piper Nigrum
1.00
confidence
40
Polygala Tenuifolia
1.00
confidence
41
Portulaca Oleracea
500+
studies
1.00
confidence
42
Prunus Armeniaca
1.00
confidence
43
Prunus Mume
1.00
confidence
44
Prunus Persica
1.00
confidence
45
Quisqualis Indica
1.00
confidence
46
Raphanus Sativus
500+
studies
1.00
confidence
47
Rehmannia Glutinosa
1.00
confidence
48
Salvia Miltiorrhiza
1.00
confidence
49
Sanguisorba Officinalis
1.00
confidence
50
Schisandra Chinensis
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ACSL3 (ACSL3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ACSL3 target overview · All biological targets · Biological pathways

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