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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Compounds That Target AKIP1

AKIP1 · 17 compounds in BiohacksAI corpus

AKIP1 (AKIP1) is a biological target with 17 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 AKIP1 modulation for therapeutic and biohacking applications.

Most Studied Compounds for AKIP1
499+
studies
300+
studies
142+
studies
All 17 Compounds — Ranked by Evidence
1
Atractylodes Macrocephala
1.00
confidence
499+
studies
1.00
confidence
3
Glycine Max
1.00
confidence
4
Panax Notoginseng
1.00
confidence
5
Pinellia Ternata
1.00
confidence
6
Artemisia Argyi
0.50
confidence
7
Chaenomeles Speciosa
0.50
confidence
8
Cimicifuga Heracleifolia
0.50
confidence
9
Ephedra Sinica
0.50
confidence
10
Euryale Ferox
0.50
confidence
11
Mentha Haplocalyx
0.50
confidence
300+
studies
0.50
confidence
13
Perilla Frutescens
0.50
confidence
14
Prunus Armeniaca
0.50
confidence
15
Prunus Mume
0.50
confidence
142+
studies
0.50
confidence
498+
studies
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for AKIP1 (AKIP1). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: AKIP1 target overview · All biological targets · Biological pathways

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