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.
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BiohacksAI/Targets/MU-TYPE/Compounds

Compounds That Target MU-TYPE

Mu-type opioid receptor (human) · 65 compounds in BiohacksAI corpus

MU-TYPE (Mu-type opioid receptor (human)) is a biological target with 65 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 MU-TYPE modulation for therapeutic and biohacking applications.

View MU-TYPE target page →UniProt: P35372 ↗
Most Studied Compounds for MU-TYPE
1
Sertraline
1.0k+
studies
2
Quetiapine
994+
studies
3
Fentanyl
300+
studies
4
Candesartan Cilexetil
300+
studies
5
Eserine
300+
studies
6
Estrone
300+
studies
7
Hexachlorophene
300+
studies
8
Domperidone
299+
studies
9
Flunarizine
299+
studies
10
Econazole
299+
studies
All 50 Compounds — Ranked by Evidence
1
Morphinedrugage
2.20
confidence
2
Fentanyl
300+
studies
2.08
confidence
3
Naloxoneheterocyclic
1.79
confidence
4
Astemizole
280+
studies
1.79
confidence
5
Domperidone
299+
studies
1.61
confidence
6
Promethazine
296+
studies
1.39
confidence
7
Quetiapine
994+
studies
1.39
confidence
8
Reserpine
297+
studies
1.39
confidence
9
Cinnarizinedrugage
1.39
confidence
10
Clotrimazoleheterocyclic
1.39
confidence
11
Flunarizine
299+
studies
1.39
confidence
12
Levorphanol
297+
studies
1.39
confidence
13
Codeineheterocyclic
1.10
confidence
14
Amoxapine
259+
studies
1.10
confidence
15
Carvedilol
296+
studies
1.10
confidence
16
Cinacalcetpolycyclic
1.10
confidence
17
Disulfiram
297+
studies
1.10
confidence
18
Econazole
299+
studies
1.10
confidence
19
Hydrocodone
294+
studies
1.10
confidence
20
Meperidine
297+
studies
1.10
confidence
21
Miconazole
298+
studies
1.10
confidence
22
Nalbuphineheterocyclic
1.10
confidence
23
Oxatomide
128+
studies
1.10
confidence
24
Tamsulosin
298+
studies
1.10
confidence
25
Loxapine
225+
studies
0.69
confidence
26
Meptazinol
231+
studies
0.69
confidence
27
Metergoline
144+
studies
0.69
confidence
28
Sertraline
1.0k+
studies
0.69
confidence
29
Amitriptyline
299+
studies
0.69
confidence
30
Aripiprazole
298+
studies
0.69
confidence
31
Benzethonium
96+
studies
0.69
confidence
32
Bromocriptine
299+
studies
0.69
confidence
33
Butorphanol
299+
studies
0.69
confidence
34
Candesartan Cilexetil
300+
studies
0.69
confidence
35
Caspofungin
299+
studies
0.69
confidence
36
Danazol
298+
studies
0.69
confidence
37
Dequalinium
136+
studies
0.69
confidence
38
Dextromethorphan
296+
studies
0.69
confidence
39
Dihydroergotamine Methanesulfonate
9+
studies
0.69
confidence
40
Dimethindene
119+
studies
0.69
confidence
41
Emetine
298+
studies
0.69
confidence
42
Eserine
300+
studies
0.69
confidence
43
Estrone
300+
studies
0.69
confidence
44
Ethopropazine
17+
studies
0.69
confidence
45
Fluspirilene
74+
studies
0.69
confidence
46
Guanabenz
298+
studies
0.69
confidence
47
Hexachlorophene
300+
studies
0.69
confidence
48
Labetalol
295+
studies
0.69
confidence
49
Levallorphan
289+
studies
0.69
confidence
50
Loratadine
296+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for MU-TYPE (Mu-type opioid receptor (human)). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: MU-TYPE target overview · All biological targets · Biological pathways

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