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/MUS/Compounds

Compounds That Target MUS

Mus musculus (house mouse) · 181 compounds in BiohacksAI corpus

MUS (Mus musculus (house mouse)) is a biological target with 181 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 MUS modulation for therapeutic and biohacking applications.

View MUS target page →
Most Studied Compounds for MUS
1
Metformin
1.0k+
studies
2
Prednisolone
1.0k+
studies
3
Simvastatin
1.0k+
studies
4
Paracetamol
1.0k+
studies
5
Acetaminophen
1.0k+
studies
6
Liraglutide
999+
studies
7
Pregabalin
996+
studies
8
Sitagliptin
990+
studies
9
Quercetin
300+
studies
10
Fentanyl
300+
studies
All 50 Compounds — Ranked by Evidence
1
Morphinedrugage
4.34
confidence
2
Obeticholic Acid
271+
studies
4.03
confidence
3
Fingolimod Hydrochloride
56+
studies
3.78
confidence
4
Indomethacin
297+
studies
3.78
confidence
5
Phenytoinheterocyclic
3.76
confidence
6
Quercetin
300+
studies
3.50
confidence
7
Fenofibrate
297+
studies
3.50
confidence
8
1 Deoxynojirimycin
299+
studies
3.47
confidence
9
Resveratrol
298+
studies
3.43
confidence
10
Vitexin
291+
studies
3.30
confidence
11
Celecoxib
295+
studies
3.22
confidence
12
Tamarixetin
26+
studies
3.22
confidence
13
Fentanyl
300+
studies
3.18
confidence
14
Liraglutide
999+
studies
3.09
confidence
15
Tigecycline
299+
studies
3.09
confidence
16
Metformin
1.0k+
studies
3.04
confidence
17
Rimonabant
300+
studies
3.00
confidence
18
Rifaximin
298+
studies
2.94
confidence
19
Acetylcysteine
298+
studies
2.89
confidence
20
Nortriptyline
295+
studies
2.89
confidence
21
Hydrocortisone
298+
studies
2.77
confidence
22
Phenobarbital
297+
studies
2.77
confidence
23
Valsartan
297+
studies
2.71
confidence
24
Rapamycin
300+
studies
2.56
confidence
25
Sitagliptin
990+
studies
2.56
confidence
26
Naloxoneheterocyclic
2.56
confidence
27
Prednisolone
1.0k+
studies
2.48
confidence
28
Gabapentin
295+
studies
2.48
confidence
29
Pioglitazoneheterocyclic
2.48
confidence
30
Plumbagin
300+
studies
2.40
confidence
31
Oleanolic Acid
300+
studies
2.40
confidence
32
Luteolin
150+
studies
2.30
confidence
33
Pregabalin
996+
studies
2.30
confidence
34
Ursolic Acid
300+
studies
2.30
confidence
35
Amethopterin
289+
studies
2.30
confidence
36
Betamethasone
299+
studies
2.30
confidence
37
Butein
158+
studies
2.30
confidence
38
Calcitriol
300+
studies
2.30
confidence
39
Clotrimazoleheterocyclic
2.30
confidence
40
Fusidic Acid
300+
studies
2.30
confidence
41
Simvastatin
1.0k+
studies
2.20
confidence
42
Afatinib
297+
studies
2.20
confidence
43
Clonidineheterocyclic
2.20
confidence
44
Diosgenin
300+
studies
2.20
confidence
45
Levamisole
299+
studies
2.20
confidence
46
Melanins
298+
studies
2.20
confidence
47
Paracetamol
1.0k+
studies
2.08
confidence
48
Acetaminophen
1.0k+
studies
2.08
confidence
49
Dipyrone
298+
studies
2.08
confidence
50
Febuxostat
297+
studies
2.08
confidence

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

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

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