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Compounds That Target APP

amyloid beta precursor protein · 183 compounds in BiohacksAI corpus

APP (amyloid beta precursor protein) is a biological target with 183 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 APP modulation for therapeutic and biohacking applications.

Most Studied Compounds for APP
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
300+
studies
All 50 Compounds — Ranked by Evidence
1
Tacrine
6.08
confidence
2
Epigalocatechin Gallate
5.40
confidence
3
Tretinoin
5.16
confidence
300+
studies
4.58
confidence
5
Isoliquiritigenin
4.50
confidence
6
Morin
4.28
confidence
7
Caffeic Acid Phenethyl Ester
4.25
confidence
300+
studies
4.17
confidence
9
Clioquinol
4.03
confidence
10
Methylene Blue Anhydrous
3.93
confidence
11
Amentoflavone
3.76
confidence
12
Amodiaquine
3.74
confidence
13
Rhamnetin
3.33
confidence
14
Retinol
3.33
confidence
15
Methylcaffeate
3.33
confidence
16
Pittsburgh Compound B Unlabelled
3.00
confidence
17
Curcumin Pyrazole
2.77
confidence
18
Memoquin
2.77
confidence
19
Ginkgetin
2.64
confidence
298+
studies
2.48
confidence
21
Bilobetin
2.48
confidence
22
Hinokiflavone
2.48
confidence
23
Acridine Orange
2.40
confidence
24
Omapatrilat
2.30
confidence
25
Podocarpusflavone A
2.30
confidence
300+
studies
2.20
confidence
27
Lucanthone
2.20
confidence
28
Isoginkgetin
2.20
confidence
29
Salvianolic Acid B
2.08
confidence
30
Sequoiaflavone
2.08
confidence
31
Ampelopsin
2.08
confidence
300+
studies
1.95
confidence
33
Methylene Blue Cation
1.95
confidence
34
Lipocrine
1.95
confidence
35
Retinal
1.95
confidence
36
Grifolic Acid
1.79
confidence
37
Atherospermidine
1.79
confidence
300+
studies
1.61
confidence
39
Myricetinflavonoids
1.61
confidence
300+
studies
1.39
confidence
200+
studies
1.39
confidence
150+
studies
1.10
confidence
300+
studies
1.10
confidence
300+
studies
0.69
confidence
300+
studies
0.69
confidence
295+
studies
0.69
confidence
300+
studies
0.69
confidence
300+
studies
0.69
confidence
49
Cladribinenucleotide
0.69
confidence
300+
studies
0.69
confidence

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

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

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