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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BiohacksAI/Targets/CDC23/Compounds

Compounds That Target CDC23

CDC23 · 9 compounds in BiohacksAI corpus

CDC23 (CDC23) is a biological target with 9 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 CDC23 modulation for therapeutic and biohacking applications.

View CDC23 target page →
Most Studied Compounds for CDC23
1
Juglans Regia
500+
studies
All 9 Compounds — Ranked by Evidence
1
Arctium Lappa
0.50
confidence
2
Atractylodes Macrocephala
0.50
confidence
3
Euryale Ferox
0.50
confidence
4
Glycine Max
0.50
confidence
5
Juglans Regia
500+
studies
0.50
confidence
6
Mentha Haplocalyx
0.50
confidence
7
Pinellia Ternata
0.50
confidence
8
Stemona Sessilifolia
0.50
confidence
9
Vigna Radiata
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for CDC23 (CDC23). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: CDC23 target overview · All biological targets · Biological pathways

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