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BiohacksAI/Targets/DOCK9/Compounds

Compounds That Target DOCK9

DOCK9 · 52 compounds in BiohacksAI corpus

DOCK9 (DOCK9) is a biological target with 52 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 DOCK9 modulation for therapeutic and biohacking applications.

View DOCK9 target page →
Most Studied Compounds for DOCK9
1
Curcuma Longa
500+
studies
2
Foeniculum Vulgare
499+
studies
3
Centella Asiatica
499+
studies
4
Panax Ginseng
300+
studies
5
Ginkgo Biloba
299+
studies
6
Smilax China
142+
studies
7
Curculigo Orchioides
116+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Arctium Lappa
1.00
confidence
4
Artemisia Annua
1.00
confidence
5
Artemisia Argyi
1.00
confidence
6
Aster Tataricus
1.00
confidence
7
Chaenomeles Speciosa
1.00
confidence
8
Crataegus Pinnatifida
1.00
confidence
9
Curculigo Orchioides
116+
studies
1.00
confidence
10
Curcuma Longa
500+
studies
1.00
confidence
11
Cuscuta Chinensis
1.00
confidence
12
Eriobotrya Japonica
1.00
confidence
13
Eucommia Ulmoides
1.00
confidence
14
Foeniculum Vulgare
499+
studies
1.00
confidence
15
Forsythia Suspensa
1.00
confidence
16
Fritillaria Cirrhosa
1.00
confidence
17
Ginkgo Biloba
299+
studies
1.00
confidence
18
Ligusticum Chuanxiong
1.00
confidence
19
Lilium Lancifolium
1.00
confidence
20
Lonicera Japonica
1.00
confidence
21
Morus Alba
1.00
confidence
22
Nelumbo Nucifera
1.00
confidence
23
Perilla Frutescens
1.00
confidence
24
Polygonum Cuspidatum
1.00
confidence
25
Prunella Vulgaris
1.00
confidence
26
Prunus Mume
1.00
confidence
27
Salvia Miltiorrhiza
1.00
confidence
28
Schisandra Chinensis
1.00
confidence
29
Scutellaria Baicalensis
1.00
confidence
30
Smilax China
142+
studies
1.00
confidence
31
Taraxacum Mongolicum
1.00
confidence
32
Tussilago Farfara
1.00
confidence
33
Uncaria Rhynchophylla
1.00
confidence
34
Vigna Radiata
1.00
confidence
35
Ziziphus Jujuba
1.00
confidence
36
Achyranthes Bidentata
0.50
confidence
37
Apis Mellifera
0.50
confidence
38
Aquilaria Sinensis
0.50
confidence
39
Artemisia Capillaris
0.50
confidence
40
Aucklandia Lappa
0.50
confidence
41
Carthamus Tinctorius
0.50
confidence
42
Centella Asiatica
499+
studies
0.50
confidence
43
Eupatorium Fortunei
0.50
confidence
44
Inula Japonica
0.50
confidence
45
Leonurus Japonicus
0.50
confidence
46
Panax Ginseng
300+
studies
0.50
confidence
47
Panax Notoginseng
0.50
confidence
48
Pinellia Ternata
0.50
confidence
49
Poria Cocos
0.50
confidence
50
Prunus Armeniaca
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DOCK9 (DOCK9). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DOCK9 target overview · All biological targets · Biological pathways

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