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 SGK3

Serine/threonine-protein kinase Sgk3 · 12 compounds in BiohacksAI corpus

SGK3 (Serine/threonine-protein kinase Sgk3) is a biological target with 12 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 SGK3 modulation for therapeutic and biohacking applications.

All 12 Compounds — Ranked by Evidence
1
Midostaurin
3.85
confidence
2
Nintedanib
3.61
confidence
3
Fedratinib
3.40
confidence
4
Linifanib
3.33
confidence
5
Dovitinib
3.09
confidence
6
Lestaurtinib
3.04
confidence
7
Ruboxistaurin
2.94
confidence
8
Plx 4720
2.71
confidence
9
Kw 2449
2.64
confidence
10
Gsk 690693
2.64
confidence
11
Ast 487
2.56
confidence
12
Su 014813
2.20
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for SGK3 (Serine/threonine-protein kinase Sgk3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: SGK3 target overview · All biological targets · Biological pathways

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