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 DDIT3

DNA-damage inducible transcript 3 · 13 compounds in BiohacksAI corpus

DDIT3 (DNA-damage inducible transcript 3) is a biological target with 13 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 DDIT3 modulation for therapeutic and biohacking applications.

Most Studied Compounds for DDIT3
300+
studies
300+
studies
300+
studies
300+
studies
299+
studies
297+
studies
297+
studies
216+
studies
74+
studies
42+
studies
All 13 Compounds — Ranked by Evidence
216+
studies
1.39
confidence
74+
studies
1.10
confidence
300+
studies
0.69
confidence
4
Cinoxacindrugage
0.69
confidence
5
Clotrimazoleheterocyclic
0.69
confidence
13+
studies
0.69
confidence
297+
studies
0.69
confidence
300+
studies
0.69
confidence
300+
studies
0.69
confidence
42+
studies
0.69
confidence
299+
studies
0.69
confidence
300+
studies
0.69
confidence
297+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for DDIT3 (DNA-damage inducible transcript 3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: DDIT3 target overview · All biological targets · Biological pathways

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