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/GP9/Compounds

Compounds That Target GP9

GP9 · 85 compounds in BiohacksAI corpus

GP9 (GP9) is a biological target with 85 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 GP9 modulation for therapeutic and biohacking applications.

View GP9 target page →
Most Studied Compounds for GP9
1
Curcuma Longa
500+
studies
2
Raphanus Sativus
500+
studies
3
Syzygium Aromaticum
500+
studies
4
Allium Sativum
500+
studies
5
Centella Asiatica
499+
studies
6
Zingiber Officinale
498+
studies
7
Panax Ginseng
300+
studies
8
Areca Catechu
199+
studies
9
Curculigo Orchioides
116+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Tuberosum
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Artemisia Argyi
1.00
confidence
5
Aster Tataricus
1.00
confidence
6
Atractylodes Macrocephala
1.00
confidence
7
Bupleurum Chinense
1.00
confidence
8
Centella Asiatica
499+
studies
1.00
confidence
9
Chaenomeles Speciosa
1.00
confidence
10
Citrus Reticulata
1.00
confidence
11
Curcuma Longa
500+
studies
1.00
confidence
12
Cuscuta Chinensis
1.00
confidence
13
Cynomorium Songaricum
1.00
confidence
14
Ligusticum Chuanxiong
1.00
confidence
15
Litchi Chinensis
1.00
confidence
16
Nelumbo Nucifera
1.00
confidence
17
Panax Ginseng
300+
studies
1.00
confidence
18
Panax Notoginseng
1.00
confidence
19
Perilla Frutescens
1.00
confidence
20
Piper Nigrum
1.00
confidence
21
Polygala Tenuifolia
1.00
confidence
22
Prunus Persica
1.00
confidence
23
Raphanus Sativus
500+
studies
1.00
confidence
24
Rehmannia Glutinosa
1.00
confidence
25
Salvia Miltiorrhiza
1.00
confidence
26
Scrophularia Ningpoensis
1.00
confidence
27
Scutellaria Baicalensis
1.00
confidence
28
Smilax Glabra
1.00
confidence
29
Syzygium Aromaticum
500+
studies
1.00
confidence
30
Trichosanthes Kirilowii
1.00
confidence
31
Zingiber Officinale
498+
studies
1.00
confidence
32
Ziziphus Jujuba
1.00
confidence
33
Achyranthes Bidentata
0.50
confidence
34
Aconitum Carmichaelii
0.50
confidence
35
Alisma Plantago
0.50
confidence
36
Allium Fistulosum
0.50
confidence
37
Allium Sativum
500+
studies
0.50
confidence
38
Apis Mellifera
0.50
confidence
39
Aquilaria Sinensis
0.50
confidence
40
Arctium Lappa
0.50
confidence
41
Areca Catechu
199+
studies
0.50
confidence
42
Artemisia Annua
0.50
confidence
43
Artemisia Capillaris
0.50
confidence
44
Carthamus Tinctorius
0.50
confidence
45
Coix Lacryma
0.50
confidence
46
Commiphora Myrrha
0.50
confidence
47
Crataegus Pinnatifida
0.50
confidence
48
Curculigo Orchioides
116+
studies
0.50
confidence
49
Ephedra Sinica
0.50
confidence
50
Eriobotrya Japonica
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for GP9 (GP9). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: GP9 target overview · All biological targets · Biological pathways

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