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BiohacksAI/Targets/APPL1/Compounds

Compounds That Target APPL1

APPL1 · 73 compounds in BiohacksAI corpus

APPL1 (APPL1) is a biological target with 73 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 APPL1 modulation for therapeutic and biohacking applications.

View APPL1 target page →
Most Studied Compounds for APPL1
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Juglans Regia
500+
studies
4
Foeniculum Vulgare
499+
studies
5
Panax Ginseng
300+
studies
6
Ginkgo Biloba
299+
studies
7
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Aloe Vera
1.00
confidence
2
Bufo Bufo
1.00
confidence
3
Bupleurum Chinense
1.00
confidence
4
Citrus Reticulata
1.00
confidence
5
Ephedra Sinica
1.00
confidence
6
Foeniculum Vulgare
499+
studies
1.00
confidence
7
Morus Alba
1.00
confidence
8
Pinellia Ternata
1.00
confidence
9
Rehmannia Glutinosa
1.00
confidence
10
Trichosanthes Kirilowii
1.00
confidence
11
Aconitum Carmichaelii
0.50
confidence
12
Allium Sativum
500+
studies
0.50
confidence
13
Anemarrhena Asphodeloides
0.50
confidence
14
Apis Mellifera
0.50
confidence
15
Aquilaria Sinensis
0.50
confidence
16
Arctium Lappa
0.50
confidence
17
Areca Catechu
199+
studies
0.50
confidence
18
Artemisia Annua
0.50
confidence
19
Artemisia Argyi
0.50
confidence
20
Atractylodes Macrocephala
0.50
confidence
21
Aucklandia Lappa
0.50
confidence
22
Bombyx Mori
0.50
confidence
23
Carthamus Tinctorius
0.50
confidence
24
Chaenomeles Speciosa
0.50
confidence
25
Cnidium Monnieri
0.50
confidence
26
Coix Lacryma
0.50
confidence
27
Commiphora Myrrha
0.50
confidence
28
Curcuma Longa
500+
studies
0.50
confidence
29
Cuscuta Chinensis
0.50
confidence
30
Dendrobium Nobile
0.50
confidence
31
Eriobotrya Japonica
0.50
confidence
32
Eupatorium Fortunei
0.50
confidence
33
Forsythia Suspensa
0.50
confidence
34
Ginkgo Biloba
299+
studies
0.50
confidence
35
Glycine Max
0.50
confidence
36
Glycyrrhiza Uralensis
0.50
confidence
37
Inula Japonica
0.50
confidence
38
Juglans Regia
500+
studies
0.50
confidence
39
Ligusticum Chuanxiong
0.50
confidence
40
Lindera Aggregata
0.50
confidence
41
Litchi Chinensis
0.50
confidence
42
Lonicera Japonica
0.50
confidence
43
Lycopus Lucidus
0.50
confidence
44
Mentha Haplocalyx
0.50
confidence
45
Morinda Officinalis
0.50
confidence
46
Mosla Chinensis
0.50
confidence
47
Nelumbo Nucifera
0.50
confidence
48
Paeonia Lactiflora
0.50
confidence
49
Panax Ginseng
300+
studies
0.50
confidence
50
Panax Notoginseng
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for APPL1 (APPL1). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: APPL1 target overview · All biological targets · Biological pathways

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