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

Compounds That Target DNAJC9

DNAJC9 · 52 compounds in BiohacksAI corpus

DNAJC9 (DNAJC9) 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 DNAJC9 modulation for therapeutic and biohacking applications.

Most Studied Compounds for DNAJC9
500+
studies
500+
studies
500+
studies
300+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Bupleurum Chinense
1.00
confidence
3
Gastrodia Elata
1.00
confidence
4
Glycine Max
1.00
confidence
300+
studies
1.00
confidence
6
Prunus Armeniaca
1.00
confidence
7
Schisandra Chinensis
1.00
confidence
8
Scutellaria Baicalensis
1.00
confidence
9
Tussilago Farfara
1.00
confidence
498+
studies
1.00
confidence
11
Ziziphus Jujuba
1.00
confidence
12
Aconitum Carmichaelii
0.50
confidence
500+
studies
0.50
confidence
14
Aloe Vera
0.50
confidence
15
Aquilaria Sinensis
0.50
confidence
16
Arctium Lappa
0.50
confidence
17
Atractylodes Macrocephala
0.50
confidence
18
Aucklandia Lappa
0.50
confidence
19
Bombyx Mori
0.50
confidence
20
Chaenomeles Speciosa
0.50
confidence
21
Cimicifuga Heracleifolia
0.50
confidence
22
Citrus Reticulata
0.50
confidence
23
Cnidium Monnieri
0.50
confidence
24
Commiphora Myrrha
0.50
confidence
25
Crataegus Pinnatifida
0.50
confidence
26
Ephedra Sinica
0.50
confidence
27
Epimedium Brevicornum
0.50
confidence
28
Eriobotrya Japonica
0.50
confidence
29
Glycyrrhiza Uralensis
0.50
confidence
30
Ligusticum Chuanxiong
0.50
confidence
31
Mentha Haplocalyx
0.50
confidence
32
Morinda Officinalis
0.50
confidence
33
Morus Alba
0.50
confidence
0.50
confidence
35
Paeonia Suffruticosa
0.50
confidence
36
Peucedanum Praeruptorum
0.50
confidence
0.50
confidence
38
Polygonum Cuspidatum
0.50
confidence
39
Poria Cocos
0.50
confidence
500+
studies
0.50
confidence
41
Prunus Mume
0.50
confidence
42
Quisqualis Indica
0.50
confidence
500+
studies
0.50
confidence
44
Rehmannia Glutinosa
0.50
confidence
45
Salvia Miltiorrhiza
0.50
confidence
46
Sargassum Fusiforme
0.50
confidence
47
Stemona Sessilifolia
0.50
confidence
500+
studies
0.50
confidence
49
Taraxacum Mongolicum
0.50
confidence
50
Trichosanthes Kirilowii
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DNAJC9 (DNAJC9). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DNAJC9 target overview · All biological targets · Biological pathways

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