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 STK11

Serine/threonine-protein kinase STK11 · 16 compounds in BiohacksAI corpus

STK11 (Serine/threonine-protein kinase STK11) is a biological target with 16 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 STK11 modulation for therapeutic and biohacking applications.

All 16 Compounds — Ranked by Evidence
1
Tozasertib
4.33
confidence
2
Dinaciclib
3.87
confidence
3
Midostaurin
3.85
confidence
4
Nintedanib
3.61
confidence
5
Fedratinib
3.40
confidence
6
Dovitinib
3.09
confidence
7
Lestaurtinib
3.04
confidence
8
Pacritinib
3.04
confidence
9
Pf 03758309
3.00
confidence
10
Ruboxistaurin
2.94
confidence
11
R 406
2.83
confidence
12
Pf 00562271
2.77
confidence
13
Pha 665752
2.71
confidence
14
Kw 2449
2.64
confidence
15
Azd 1480
2.30
confidence
16
Su 014813
2.20
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for STK11 (Serine/threonine-protein kinase STK11). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: STK11 target overview · All biological targets · Biological pathways

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