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.
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BiohacksAI/Targets/ALCAM
MOLECULAR TARGET

ALCAM

ALCAM

15 compounds · BiohacksAI corpus v20260307-01

15
compounds
Compounds
15
Gene Symbol
ALCAM
NCBI Gene
—

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About ALCAM

ALCAM (ALCAM) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 15 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

Compounds Targeting ALCAM (15)
1
Glycine Max
1.00
confidence
2
Lonicera Japonica
1.00
confidence
3
Panax Notoginseng
1.00
confidence
4
Perilla Frutescens
1.00
confidence
5
Zingiber Officinale
498
studies
1.00
confidence
6
Allium Sativum
500
studies
0.50
confidence
7
Aloe Vera
0.50
confidence
8
Apis Mellifera
0.50
confidence
9
Ephedra Sinica
0.50
confidence
10
Leonurus Japonicus
0.50
confidence
11
Peucedanum Praeruptorum
0.50
confidence
12
Rubia Cordifolia
200
studies
0.50
confidence
13
Taraxacum Mongolicum
0.50
confidence
14
Vigna Radiata
0.50
confidence
15
Ziziphus Jujuba
0.50
confidence
Top 15 compounds by confidence score. Derived from BindingDB assay data.
Data Source
Corpusv20260307-01
SourceBindingDB · ChEMBL · PubMed

All data is computationally derived from published research. Not medical advice. Independent validation required.