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Compounds That Target ADAM33

ADAM33 · 28 compounds in BiohacksAI corpus

ADAM33 (ADAM33) is a biological target with 28 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 ADAM33 modulation for therapeutic and biohacking applications.

Most Studied Compounds for ADAM33
500+
studies
300+
studies
199+
studies
All 28 Compounds — Ranked by Evidence
1
Apis Mellifera
1.00
confidence
500+
studies
0.50
confidence
3
Aloe Vera
0.50
confidence
4
Arctium Lappa
0.50
confidence
199+
studies
0.50
confidence
6
Bupleurum Chinense
0.50
confidence
7
Carthamus Tinctorius
0.50
confidence
8
Cimicifuga Heracleifolia
0.50
confidence
9
Commiphora Myrrha
0.50
confidence
10
Ephedra Sinica
0.50
confidence
11
Forsythia Suspensa
0.50
confidence
12
Glycine Max
0.50
confidence
13
Hirudo Nipponia
0.50
confidence
14
Lindera Aggregata
0.50
confidence
15
Lonicera Japonica
0.50
confidence
16
Morus Alba
0.50
confidence
17
Paeonia Suffruticosa
0.50
confidence
300+
studies
0.50
confidence
19
Polygala Tenuifolia
0.50
confidence
20
Polygonum Cuspidatum
0.50
confidence
21
Salvia Miltiorrhiza
0.50
confidence
22
Sargassum Fusiforme
0.50
confidence
23
Scolopendra Subspinipes
0.50
confidence
24
Scutellaria Baicalensis
0.50
confidence
25
Smilax Glabra
0.50
confidence
26
Stemona Sessilifolia
0.50
confidence
500+
studies
0.50
confidence
28
Vigna Radiata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ADAM33 (ADAM33). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ADAM33 target overview · All biological targets · Biological pathways

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