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.
BiohacksAI is an evolving scientific literature platform. New compounds and evidence are indexed continuously.
B
○
BiohacksAI/Targets/AADACL4/Compounds

Compounds That Target AADACL4

AADACL4 · 103 compounds in BiohacksAI corpus

AADACL4 (AADACL4) is a biological target with 103 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 AADACL4 modulation for therapeutic and biohacking applications.

View AADACL4 target page →
Most Studied Compounds for AADACL4
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Raphanus Sativus
500+
studies
4
Centella Asiatica
499+
studies
5
Foeniculum Vulgare
499+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Rubia Cordifolia
200+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Tuberosum
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Artemisia Annua
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
Bombyx Mori
1.00
confidence
10
Bupleurum Chinense
1.00
confidence
11
Carthamus Tinctorius
1.00
confidence
12
Centella Asiatica
499+
studies
1.00
confidence
13
Chaenomeles Speciosa
1.00
confidence
14
Citrus Reticulata
1.00
confidence
15
Crataegus Pinnatifida
1.00
confidence
16
Curcuma Longa
500+
studies
1.00
confidence
17
Cuscuta Chinensis
1.00
confidence
18
Cynomorium Songaricum
1.00
confidence
19
Dimocarpus Longan
1.00
confidence
20
Ephedra Sinica
1.00
confidence
21
Eriobotrya Japonica
1.00
confidence
22
Eucommia Ulmoides
1.00
confidence
23
Foeniculum Vulgare
499+
studies
1.00
confidence
24
Ginkgo Biloba
299+
studies
1.00
confidence
25
Glycyrrhiza Uralensis
1.00
confidence
26
Ligusticum Chuanxiong
1.00
confidence
27
Lilium Lancifolium
1.00
confidence
28
Litchi Chinensis
1.00
confidence
29
Lithospermum Erythrorhizon
1.00
confidence
30
Lonicera Japonica
1.00
confidence
31
Morus Alba
1.00
confidence
32
Nelumbo Nucifera
1.00
confidence
33
Paeonia Lactiflora
1.00
confidence
34
Panax Ginseng
300+
studies
1.00
confidence
35
Panax Notoginseng
1.00
confidence
36
Perilla Frutescens
1.00
confidence
37
Piper Nigrum
1.00
confidence
38
Polygala Tenuifolia
1.00
confidence
39
Polygonum Cuspidatum
1.00
confidence
40
Poria Cocos
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
Raphanus Sativus
500+
studies
1.00
confidence
46
Rehmannia Glutinosa
1.00
confidence
47
Rubia Cordifolia
200+
studies
1.00
confidence
48
Salvia Miltiorrhiza
1.00
confidence
49
Sanguisorba Officinalis
1.00
confidence
50
Saposhnikovia Divaricata
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AADACL4 (AADACL4). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AADACL4 target overview · All biological targets · Biological pathways

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