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.
BiohacksAI is an evolving scientific literature platform. New compounds and evidence are indexed continuously.
B
○
BiohacksAI/Targets/STAT3/Compounds

Compounds That Target STAT3

signal transducer and activator of transcription 3 · 135 compounds in BiohacksAI corpus

STAT3 (signal transducer and activator of transcription 3) is a biological target with 135 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 STAT3 modulation for therapeutic and biohacking applications.

View STAT3 target page →UniProt: P40763 ↗
Most Studied Compounds for STAT3
1
Curcuma Longa
500+
studies
2
Allium Sativum
500+
studies
3
Centella Asiatica
499+
studies
4
Foeniculum Vulgare
499+
studies
5
Ginkgo Biloba
299+
studies
6
Celecoxib
295+
studies
7
Fingolimod Hydrochloride
56+
studies
All 51 Compounds — Ranked by Evidence
1
Nitazoxanide
3.97
confidence
2
Baricitinib
3.56
confidence
3
Piplartine
3.53
confidence
4
Bardoxolone Methyl
3.47
confidence
5
Napabucasin
3.43
confidence
6
Lestaurtinib
3.04
confidence
7
Momelotinib
2.89
confidence
8
Curcumin Pyrazole
2.77
confidence
9
Niclosamideorganic
2.56
confidence
10
Deucravacitinib
2.48
confidence
11
Azd 1480
2.30
confidence
12
Levomenol
2.20
confidence
13
Delgocitinib
1.95
confidence
14
Fingolimod Hydrochloride
56+
studies
1.10
confidence
15
Centella Asiatica
499+
studies
1.00
confidence
16
Chaenomeles Speciosa
1.00
confidence
17
Citrus Reticulata
1.00
confidence
18
Crataegus Pinnatifida
1.00
confidence
19
Curcuma Longa
500+
studies
1.00
confidence
20
Cuscuta Chinensis
1.00
confidence
21
Cynomorium Songaricum
1.00
confidence
22
Dimocarpus Longan
1.00
confidence
23
Ephedra Sinica
1.00
confidence
24
Eucommia Ulmoides
1.00
confidence
25
Foeniculum Vulgare
499+
studies
1.00
confidence
26
Forsythia Suspensa
1.00
confidence
27
Fritillaria Cirrhosa
1.00
confidence
28
Ginkgo Biloba
299+
studies
1.00
confidence
29
Glycine Max
1.00
confidence
30
Glycyrrhiza Uralensis
1.00
confidence
31
Ligusticum Chuanxiong
1.00
confidence
32
Lilium Lancifolium
1.00
confidence
33
Litchi Chinensis
1.00
confidence
34
Lobelia Chinensis
1.00
confidence
35
Lonicera Japonica
1.00
confidence
36
Morus Alba
1.00
confidence
37
Nelumbo Nucifera
1.00
confidence
38
Agastache Rugosa
1.00
confidence
39
Allium Sativum
500+
studies
1.00
confidence
40
Allium Tuberosum
1.00
confidence
41
Aloe Vera
1.00
confidence
42
Anemarrhena Asphodeloides
1.00
confidence
43
Apis Mellifera
1.00
confidence
44
Arctium Lappa
1.00
confidence
45
Artemisia Annua
1.00
confidence
46
Artemisia Argyi
1.00
confidence
47
Aster Tataricus
1.00
confidence
48
Atractylodes Macrocephala
1.00
confidence
49
Bupleurum Chinense
1.00
confidence
50
Carthamus Tinctorius
1.00
confidence
51
Celecoxib
295+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for STAT3 (signal transducer and activator of transcription 3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: STAT3 target overview · All biological targets · Biological pathways

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