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BiohacksAI/Targets/ACSL4/Compounds

Compounds That Target ACSL4

ACSL4 · 113 compounds in BiohacksAI corpus

ACSL4 (ACSL4) is a biological target with 113 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 ACSL4 modulation for therapeutic and biohacking applications.

View ACSL4 target page →
Most Studied Compounds for ACSL4
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Raphanus Sativus
500+
studies
5
Syzygium Aromaticum
500+
studies
6
Centella Asiatica
499+
studies
7
Foeniculum Vulgare
499+
studies
8
Panax Ginseng
300+
studies
9
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
Ligusticum Chuanxiong
1.00
confidence
26
Litchi Chinensis
1.00
confidence
27
Lithospermum Erythrorhizon
1.00
confidence
28
Lonicera Japonica
1.00
confidence
29
Morus Alba
1.00
confidence
30
Nelumbo Nucifera
1.00
confidence
31
Paeonia Lactiflora
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
Polygala Tenuifolia
1.00
confidence
38
Portulaca Oleracea
500+
studies
1.00
confidence
39
Prunus Armeniaca
1.00
confidence
40
Prunus Mume
1.00
confidence
41
Prunus Persica
1.00
confidence
42
Raphanus Sativus
500+
studies
1.00
confidence
43
Rehmannia Glutinosa
1.00
confidence
44
Salvia Miltiorrhiza
1.00
confidence
45
Schisandra Chinensis
1.00
confidence
46
Scrophularia Ningpoensis
1.00
confidence
47
Scutellaria Baicalensis
1.00
confidence
48
Smilax Glabra
1.00
confidence
49
Syzygium Aromaticum
500+
studies
1.00
confidence
50
Taraxacum Mongolicum
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ACSL4 (ACSL4). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ACSL4 target overview · All biological targets · Biological pathways

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