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 STK35

serine/threonine kinase 35 · 17 compounds in BiohacksAI corpus

STK35 (serine/threonine kinase 35) 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 STK35 modulation for therapeutic and biohacking applications.

Most Studied Compounds for STK35
298+
studies
All 17 Compounds — Ranked by Evidence
1
Alvocidib
4.52
confidence
2
Foretinib
4.34
confidence
3
Vandetanib
4.30
confidence
4
Bosutinib
4.08
confidence
5
Neratinib
3.66
confidence
6
Nintedanib
3.61
confidence
7
Canertinib
3.53
confidence
8
Tae 684
3.43
confidence
9
Lestaurtinib
3.04
confidence
10
R 406
2.83
confidence
11
Cediranib
2.83
confidence
12
Kw 2449
2.64
confidence
13
Ast 487
2.56
confidence
14
Motesanib
2.48
confidence
15
Brivanib
2.48
confidence
16
Su 014813
2.20
confidence
298+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for STK35 (serine/threonine kinase 35). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: STK35 target overview · All biological targets · Biological pathways

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