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BiohacksAI/Targets/ALPL/Compounds

Compounds That Target ALPL

alkaline phosphatase, biomineralization associated · 64 compounds in BiohacksAI corpus

ALPL (alkaline phosphatase, biomineralization associated) is a biological target with 64 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 ALPL modulation for therapeutic and biohacking applications.

View ALPL target page →UniProt: P05186 ↗
Most Studied Compounds for ALPL
1
Curcuma Longa
500+
studies
2
Syzygium Aromaticum
500+
studies
3
Allium Sativum
500+
studies
4
Juglans Regia
500+
studies
5
Zingiber Officinale
498+
studies
6
Caffeic Acid
300+
studies
7
Epicatechin
300+
studies
8
Panax Ginseng
300+
studies
9
Ginkgo Biloba
299+
studies
10
Domperidone
299+
studies
All 50 Compounds — Ranked by Evidence
1
Chaenomeles Speciosa
1.00
confidence
2
Curcuma Longa
500+
studies
1.00
confidence
3
Gastrodia Elata
1.00
confidence
4
Ginkgo Biloba
299+
studies
1.00
confidence
5
Lilium Lancifolium
1.00
confidence
6
Morus Alba
1.00
confidence
7
Nelumbo Nucifera
1.00
confidence
8
Polygonum Cuspidatum
1.00
confidence
9
Scutellaria Baicalensis
1.00
confidence
10
Syzygium Aromaticum
500+
studies
1.00
confidence
11
Taraxacum Mongolicum
1.00
confidence
12
Zingiber Officinale
498+
studies
1.00
confidence
13
Caffeic Acid
300+
studies
0.69
confidence
14
Myricetinflavonoids
0.69
confidence
15
Domperidone
299+
studies
0.69
confidence
16
Epicatechin
300+
studies
0.69
confidence
17
Methyldopa
297+
studies
0.69
confidence
18
Achyranthes Bidentata
0.50
confidence
19
Aconitum Carmichaelii
0.50
confidence
20
Allium Fistulosum
0.50
confidence
21
Allium Sativum
500+
studies
0.50
confidence
22
Aloe Vera
0.50
confidence
23
Anemarrhena Asphodeloides
0.50
confidence
24
Apis Mellifera
0.50
confidence
25
Aquilaria Sinensis
0.50
confidence
26
Arctium Lappa
0.50
confidence
27
Areca Catechu
199+
studies
0.50
confidence
28
Atractylodes Macrocephala
0.50
confidence
29
Aucklandia Lappa
0.50
confidence
30
Belamcanda Chinensis
0.50
confidence
31
Carthamus Tinctorius
0.50
confidence
32
Citrus Reticulata
0.50
confidence
33
Commiphora Myrrha
0.50
confidence
34
Crataegus Pinnatifida
0.50
confidence
35
Ephedra Sinica
0.50
confidence
36
Eriobotrya Japonica
0.50
confidence
37
Eucommia Ulmoides
0.50
confidence
38
Forsythia Suspensa
0.50
confidence
39
Glycine Max
0.50
confidence
40
Glycyrrhiza Uralensis
0.50
confidence
41
Juglans Regia
500+
studies
0.50
confidence
42
Leonurus Japonicus
0.50
confidence
43
Ligusticum Chuanxiong
0.50
confidence
44
Lithospermum Erythrorhizon
0.50
confidence
45
Lonicera Japonica
0.50
confidence
46
Mentha Haplocalyx
0.50
confidence
47
Paeonia Lactiflora
0.50
confidence
48
Panax Ginseng
300+
studies
0.50
confidence
49
Perilla Frutescens
0.50
confidence
50
Pinellia Ternata
0.50
confidence

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

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

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