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

Compounds That Target ALCAM

ALCAM · 15 compounds in BiohacksAI corpus

ALCAM (ALCAM) is a biological target with 15 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 ALCAM modulation for therapeutic and biohacking applications.

Most Studied Compounds for ALCAM
500+
studies
200+
studies
All 15 Compounds — Ranked by Evidence
1
Glycine Max
1.00
confidence
2
Lonicera Japonica
1.00
confidence
3
Panax Notoginseng
1.00
confidence
4
Perilla Frutescens
1.00
confidence
498+
studies
1.00
confidence
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
200+
studies
0.50
confidence
13
Taraxacum Mongolicum
0.50
confidence
14
Vigna Radiata
0.50
confidence
15
Ziziphus Jujuba
0.50
confidence

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

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

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