What compounds target APP?

BiohacksAI has identified 27 compounds that interact with APP (amyloid beta precursor protein). Top compounds include: Resveratrol, Quercetin, egcg, Hesperidin, myricetin-3-O-galactopyranoside [Supplementary Concept]. Each compound is ranked by evidence score derived from PubMed bioassay confidence and assay count.

What is APP (amyloid beta precursor)?

APP is amyloid beta precursor protein. It is a molecular target for 27 compounds documented in PubMed bioassay data. UniProt ID: P05067. NCBI Gene ID: 351.

APP

MOLECULAR TARGET

amyloid beta precursor protein

UniProt: P05067 NCBI Gene: 35127 compounds

APP (amyloid beta precursor protein) is targeted by 27 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).

Compounds Targeting APP

Ranked by bioassay confidence score (PubChem active assay count × evidence quality).

#	Compound	Confidence	Active Assays
1	Resveratrol	2.48	11
2	Quercetin	2.20	8
3	egcg	1.95	6
4	Hesperidin	1.61	4
5	myricetin-3-O-galactopyranoside [Supplementary Concept]	1.61	4
6	Kaempferols	1.39	3
7	Methylene Blue	1.39	3
8	Luteolin 5,7,3',4'-tetrahydroxy-flavone,	1.10	2
9	(N-methyl-C-11)-2-(4-methylamino-phenyl)-6-hydroxybenzothiazole [Supplementary Concept] neutral analog of amyloid-binding thioflavin-T (BTA) that crosses	1.10	2
10	Apigenin 5,7,4'-trihydroxy-flavone,	0.69	1
11	caffeic acid	0.69	1
12	Vitamin	0.69	1
13	2-Methoxyestradiol	0.69	1
14	arctigenin-4-O-(3''-O-acetyl-beta-D-glucoside) [Supplementary Concept] isolated from	0.69	1
15	Cladribine	0.69	1
16	Digitoxin	0.69	1
17	Digoxin	0.69	1
18	Disulfiram	0.69	1
19	Edetic Acid	0.69	1
20	Catechin	0.69	1
21	Vanillic Acid	0.69	1
22	Ouabain	0.69	1
23	Podophyllotoxin	0.69	1
24	Quinic Acid	0.69	1
25	Retinaldehyde	0.69	1
26	streptonigrin	0.69	1
27	Trifluridine	0.69	1

About APP as a Drug Target

APP (amyloid beta precursor protein) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 27 compounds with documented APP interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.

APP inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.