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/FGF3/Compounds

Compounds That Target FGF3

FGF3 · 75 compounds in BiohacksAI corpus

FGF3 (FGF3) is a biological target with 75 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 FGF3 modulation for therapeutic and biohacking applications.

View FGF3 target page →
Most Studied Compounds for FGF3
1
Portulaca Oleracea
500+
studies
2
Allium Sativum
500+
studies
3
Centella Asiatica
499+
studies
4
Foeniculum Vulgare
499+
studies
5
Zingiber Officinale
498+
studies
6
Rubia Cordifolia
200+
studies
7
Areca Catechu
199+
studies
8
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Aloe Vera
1.00
confidence
2
Artemisia Capillaris
1.00
confidence
3
Centella Asiatica
499+
studies
1.00
confidence
4
Citrus Reticulata
1.00
confidence
5
Crataegus Pinnatifida
1.00
confidence
6
Cuscuta Chinensis
1.00
confidence
7
Ephedra Sinica
1.00
confidence
8
Eriobotrya Japonica
1.00
confidence
9
Eucommia Ulmoides
1.00
confidence
10
Foeniculum Vulgare
499+
studies
1.00
confidence
11
Glycyrrhiza Uralensis
1.00
confidence
12
Inula Japonica
1.00
confidence
13
Lilium Lancifolium
1.00
confidence
14
Lonicera Japonica
1.00
confidence
15
Morus Alba
1.00
confidence
16
Nelumbo Nucifera
1.00
confidence
17
Perilla Frutescens
1.00
confidence
18
Polygonum Cuspidatum
1.00
confidence
19
Poria Cocos
1.00
confidence
20
Portulaca Oleracea
500+
studies
1.00
confidence
21
Prunella Vulgaris
1.00
confidence
22
Prunus Armeniaca
1.00
confidence
23
Prunus Mume
1.00
confidence
24
Rubia Cordifolia
200+
studies
1.00
confidence
25
Salvia Miltiorrhiza
1.00
confidence
26
Sanguisorba Officinalis
1.00
confidence
27
Schisandra Chinensis
1.00
confidence
28
Smilax China
142+
studies
1.00
confidence
29
Smilax Glabra
1.00
confidence
30
Sophora Flavescens
1.00
confidence
31
Taraxacum Mongolicum
1.00
confidence
32
Trichosanthes Kirilowii
1.00
confidence
33
Tussilago Farfara
1.00
confidence
34
Vigna Radiata
1.00
confidence
35
Vigna Umbellata
1.00
confidence
36
Zingiber Officinale
498+
studies
1.00
confidence
37
Ziziphus Jujuba
1.00
confidence
38
Achyranthes Bidentata
0.50
confidence
39
Aconitum Carmichaelii
0.50
confidence
40
Allium Sativum
500+
studies
0.50
confidence
41
Aquilaria Sinensis
0.50
confidence
42
Arctium Lappa
0.50
confidence
43
Areca Catechu
199+
studies
0.50
confidence
44
Artemisia Annua
0.50
confidence
45
Artemisia Argyi
0.50
confidence
46
Aster Tataricus
0.50
confidence
47
Belamcanda Chinensis
0.50
confidence
48
Bupleurum Chinense
0.50
confidence
49
Carthamus Tinctorius
0.50
confidence
50
Chaenomeles Speciosa
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for FGF3 (FGF3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: FGF3 target overview · All biological targets · Biological pathways

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