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/INS/Compounds

Compounds That Target INS

insulin · 67 compounds in BiohacksAI corpus

INS (insulin) is a biological target with 67 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 INS modulation for therapeutic and biohacking applications.

View INS target page →UniProt: P01308 ↗
Most Studied Compounds for INS
1
Curcuma Longa
500+
studies
2
Raphanus Sativus
500+
studies
3
Foeniculum Vulgare
499+
studies
4
Zingiber Officinale
498+
studies
5
Panax Ginseng
300+
studies
6
Digitoxin
300+
studies
7
Ginkgo Biloba
299+
studies
8
Digoxin
299+
studies
9
Thiabendazole
299+
studies
10
Flutamide
298+
studies
All 50 Compounds — Ranked by Evidence
1
Aloe Vera
1.00
confidence
2
Artemisia Argyi
1.00
confidence
3
Artemisia Capillaris
1.00
confidence
4
Carthamus Tinctorius
1.00
confidence
5
Citrus Reticulata
1.00
confidence
6
Curcuma Longa
500+
studies
1.00
confidence
7
Ephedra Sinica
1.00
confidence
8
Ginkgo Biloba
299+
studies
1.00
confidence
9
Lobelia Chinensis
1.00
confidence
10
Lonicera Japonica
1.00
confidence
11
Nelumbo Nucifera
1.00
confidence
12
Panax Ginseng
300+
studies
1.00
confidence
13
Panax Notoginseng
1.00
confidence
14
Prunus Armeniaca
1.00
confidence
15
Prunus Mume
1.00
confidence
16
Quisqualis Indica
1.00
confidence
17
Raphanus Sativus
500+
studies
1.00
confidence
18
Rehmannia Glutinosa
1.00
confidence
19
Trichosanthes Kirilowii
1.00
confidence
20
Zingiber Officinale
498+
studies
1.00
confidence
21
Digitoxin
300+
studies
0.69
confidence
22
Digoxin
299+
studies
0.69
confidence
23
Flutamide
298+
studies
0.69
confidence
24
M084
2+
studies
0.69
confidence
25
Thiabendazole
299+
studies
0.69
confidence
26
Achyranthes Bidentata
0.50
confidence
27
Aconitum Carmichaelii
0.50
confidence
28
Allium Tuberosum
0.50
confidence
29
Aquilaria Sinensis
0.50
confidence
30
Arctium Lappa
0.50
confidence
31
Areca Catechu
199+
studies
0.50
confidence
32
Asparagus Cochinchinensis
0.50
confidence
33
Aucklandia Lappa
0.50
confidence
34
Belamcanda Chinensis
0.50
confidence
35
Bupleurum Chinense
0.50
confidence
36
Cimicifuga Heracleifolia
0.50
confidence
37
Cnidium Monnieri
0.50
confidence
38
Coix Lacryma
0.50
confidence
39
Commiphora Myrrha
0.50
confidence
40
Curculigo Orchioides
116+
studies
0.50
confidence
41
Cynomorium Songaricum
0.50
confidence
42
Eriobotrya Japonica
0.50
confidence
43
Eucommia Ulmoides
0.50
confidence
44
Foeniculum Vulgare
499+
studies
0.50
confidence
45
Glycine Max
0.50
confidence
46
Lindera Aggregata
0.50
confidence
47
Litchi Chinensis
0.50
confidence
48
Mentha Haplocalyx
0.50
confidence
49
Morinda Officinalis
0.50
confidence
50
Morus Alba
0.50
confidence

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

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

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