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/CXCL9/Compounds

Compounds That Target CXCL9

CXCL9 · 108 compounds in BiohacksAI corpus

CXCL9 (CXCL9) is a biological target with 108 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 CXCL9 modulation for therapeutic and biohacking applications.

View CXCL9 target page →
Most Studied Compounds for CXCL9
1
Curcuma Longa
500+
studies
2
Portulaca Oleracea
500+
studies
3
Allium Sativum
500+
studies
4
Centella Asiatica
499+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
8
Rubia Cordifolia
200+
studies
9
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Aloe Vera
1.00
confidence
3
Apis Mellifera
1.00
confidence
4
Artemisia Annua
1.00
confidence
5
Artemisia Capillaris
1.00
confidence
6
Bombyx Mori
1.00
confidence
7
Bufo Bufo
1.00
confidence
8
Bupleurum Chinense
1.00
confidence
9
Chaenomeles Speciosa
1.00
confidence
10
Citrus Reticulata
1.00
confidence
11
Curcuma Longa
500+
studies
1.00
confidence
12
Eriobotrya Japonica
1.00
confidence
13
Fritillaria Cirrhosa
1.00
confidence
14
Ginkgo Biloba
299+
studies
1.00
confidence
15
Glycyrrhiza Uralensis
1.00
confidence
16
Lithospermum Erythrorhizon
1.00
confidence
17
Lonicera Japonica
1.00
confidence
18
Morus Alba
1.00
confidence
19
Nelumbo Nucifera
1.00
confidence
20
Panax Ginseng
300+
studies
1.00
confidence
21
Perilla Frutescens
1.00
confidence
22
Pinellia Ternata
1.00
confidence
23
Portulaca Oleracea
500+
studies
1.00
confidence
24
Prunella Vulgaris
1.00
confidence
25
Prunus Mume
1.00
confidence
26
Rehmannia Glutinosa
1.00
confidence
27
Rubia Cordifolia
200+
studies
1.00
confidence
28
Scutellaria Baicalensis
1.00
confidence
29
Smilax China
142+
studies
1.00
confidence
30
Smilax Glabra
1.00
confidence
31
Taraxacum Mongolicum
1.00
confidence
32
Trichosanthes Kirilowii
1.00
confidence
33
Vigna Umbellata
1.00
confidence
34
Zingiber Officinale
498+
studies
1.00
confidence
35
Ziziphus Jujuba
1.00
confidence
36
Achyranthes Bidentata
0.50
confidence
37
Aconitum Carmichaelii
0.50
confidence
38
Alisma Plantago
0.50
confidence
39
Allium Fistulosum
0.50
confidence
40
Allium Sativum
500+
studies
0.50
confidence
41
Allium Tuberosum
0.50
confidence
42
Anemarrhena Asphodeloides
0.50
confidence
43
Aquilaria Sinensis
0.50
confidence
44
Arctium Lappa
0.50
confidence
45
Artemisia Argyi
0.50
confidence
46
Atractylodes Macrocephala
0.50
confidence
47
Aucklandia Lappa
0.50
confidence
48
Belamcanda Chinensis
0.50
confidence
49
Carthamus Tinctorius
0.50
confidence
50
Centella Asiatica
499+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CXCL9 (CXCL9). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CXCL9 target overview · All biological targets · Biological pathways

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