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/ACCS/Compounds

Compounds That Target ACCS

ACCS · 106 compounds in BiohacksAI corpus

ACCS (ACCS) is a biological target with 106 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 ACCS modulation for therapeutic and biohacking applications.

View ACCS target page →
Most Studied Compounds for ACCS
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Portulaca Oleracea
500+
studies
4
Raphanus Sativus
500+
studies
5
Syzygium Aromaticum
500+
studies
6
Centella Asiatica
499+
studies
7
Foeniculum Vulgare
499+
studies
8
Zingiber Officinale
498+
studies
9
Panax Ginseng
300+
studies
All 50 Compounds — Ranked by Evidence
1
Achyranthes Bidentata
1.00
confidence
2
Agastache Rugosa
1.00
confidence
3
Allium Sativum
500+
studies
1.00
confidence
4
Aloe Vera
1.00
confidence
5
Apis Mellifera
1.00
confidence
6
Artemisia Annua
1.00
confidence
7
Artemisia Argyi
1.00
confidence
8
Artemisia Capillaris
1.00
confidence
9
Aster Tataricus
1.00
confidence
10
Atractylodes Macrocephala
1.00
confidence
11
Bombyx Mori
1.00
confidence
12
Bupleurum Chinense
1.00
confidence
13
Centella Asiatica
499+
studies
1.00
confidence
14
Chaenomeles Speciosa
1.00
confidence
15
Citrus Reticulata
1.00
confidence
16
Cnidium Monnieri
1.00
confidence
17
Commiphora Myrrha
1.00
confidence
18
Crataegus Pinnatifida
1.00
confidence
19
Curcuma Longa
500+
studies
1.00
confidence
20
Cuscuta Chinensis
1.00
confidence
21
Cynomorium Songaricum
1.00
confidence
22
Eucommia Ulmoides
1.00
confidence
23
Foeniculum Vulgare
499+
studies
1.00
confidence
24
Glycyrrhiza Uralensis
1.00
confidence
25
Ligusticum Chuanxiong
1.00
confidence
26
Litchi Chinensis
1.00
confidence
27
Lonicera Japonica
1.00
confidence
28
Morus Alba
1.00
confidence
29
Mosla Chinensis
1.00
confidence
30
Nelumbo Nucifera
1.00
confidence
31
Panax Ginseng
300+
studies
1.00
confidence
32
Panax Notoginseng
1.00
confidence
33
Perilla Frutescens
1.00
confidence
34
Pinellia Ternata
1.00
confidence
35
Piper Nigrum
1.00
confidence
36
Polygonum Cuspidatum
1.00
confidence
37
Portulaca Oleracea
500+
studies
1.00
confidence
38
Prunella Vulgaris
1.00
confidence
39
Prunus Armeniaca
1.00
confidence
40
Raphanus Sativus
500+
studies
1.00
confidence
41
Rehmannia Glutinosa
1.00
confidence
42
Salvia Miltiorrhiza
1.00
confidence
43
Schisandra Chinensis
1.00
confidence
44
Scutellaria Baicalensis
1.00
confidence
45
Stemona Sessilifolia
1.00
confidence
46
Syzygium Aromaticum
500+
studies
1.00
confidence
47
Taraxacum Mongolicum
1.00
confidence
48
Zingiber Officinale
498+
studies
1.00
confidence
49
Ziziphus Jujuba
1.00
confidence
50
Aconitum Carmichaelii
0.50
confidence

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

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

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