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BiohacksAI/Targets/ACCSL/Compounds

Compounds That Target ACCSL

ACCSL · 106 compounds in BiohacksAI corpus

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

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

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

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

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