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/HAS3/Compounds

Compounds That Target HAS3

HAS3 · 111 compounds in BiohacksAI corpus

HAS3 (HAS3) is a biological target with 111 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 HAS3 modulation for therapeutic and biohacking applications.

View HAS3 target page →
Most Studied Compounds for HAS3
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Raphanus Sativus
500+
studies
4
Syzygium Aromaticum
500+
studies
5
Centella Asiatica
499+
studies
6
Zingiber Officinale
498+
studies
7
Panax Ginseng
300+
studies
8
Ginkgo Biloba
299+
studies
9
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Allium Tuberosum
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Apis Mellifera
1.00
confidence
6
Arctium Lappa
1.00
confidence
7
Aster Tataricus
1.00
confidence
8
Atractylodes Macrocephala
1.00
confidence
9
Bupleurum Chinense
1.00
confidence
10
Centella Asiatica
499+
studies
1.00
confidence
11
Chaenomeles Speciosa
1.00
confidence
12
Citrus Reticulata
1.00
confidence
13
Curcuma Longa
500+
studies
1.00
confidence
14
Cuscuta Chinensis
1.00
confidence
15
Cynomorium Songaricum
1.00
confidence
16
Ephedra Sinica
1.00
confidence
17
Eucommia Ulmoides
1.00
confidence
18
Forsythia Suspensa
1.00
confidence
19
Fritillaria Cirrhosa
1.00
confidence
20
Ginkgo Biloba
299+
studies
1.00
confidence
21
Glycine Max
1.00
confidence
22
Ligusticum Chuanxiong
1.00
confidence
23
Lilium Lancifolium
1.00
confidence
24
Litchi Chinensis
1.00
confidence
25
Lobelia Chinensis
1.00
confidence
26
Lonicera Japonica
1.00
confidence
27
Morus Alba
1.00
confidence
28
Nelumbo Nucifera
1.00
confidence
29
Panax Ginseng
300+
studies
1.00
confidence
30
Panax Notoginseng
1.00
confidence
31
Perilla Frutescens
1.00
confidence
32
Piper Nigrum
1.00
confidence
33
Polygala Tenuifolia
1.00
confidence
34
Polygonum Cuspidatum
1.00
confidence
35
Prunus Armeniaca
1.00
confidence
36
Prunus Persica
1.00
confidence
37
Raphanus Sativus
500+
studies
1.00
confidence
38
Rehmannia Glutinosa
1.00
confidence
39
Salvia Miltiorrhiza
1.00
confidence
40
Sargassum Fusiforme
1.00
confidence
41
Scrophularia Ningpoensis
1.00
confidence
42
Scutellaria Baicalensis
1.00
confidence
43
Smilax China
142+
studies
1.00
confidence
44
Smilax Glabra
1.00
confidence
45
Syzygium Aromaticum
500+
studies
1.00
confidence
46
Trichosanthes Kirilowii
1.00
confidence
47
Vigna Radiata
1.00
confidence
48
Vigna Umbellata
1.00
confidence
49
Zingiber Officinale
498+
studies
1.00
confidence
50
Ziziphus Jujuba
1.00
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for HAS3 (HAS3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: HAS3 target overview · All biological targets · Biological pathways

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