STK4
MOLECULAR TARGETserine/threonine kinase 4
STK4 (serine/threonine kinase 4) is targeted by 38 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).
Compounds Targeting STK4
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | foretinib | 4.34 | 76 |
| 2 | tozasertib | 4.33 | 75 |
| 3 | bosutinib | 4.08 | 58 |
| 4 | midostaurin | 3.85 | 46 |
| 5 | molibresib | 3.81 | 44 |
| 6 | neratinib | 3.66 | 38 |
| 7 | nintedanib | 3.61 | 36 |
| 8 | pelitinib | 3.50 | 32 |
| 9 | tae 684 | 3.43 | 30 |
| 10 | linifanib | 3.33 | 27 |
| 11 | sp 600125 | 3.22 | 24 |
| 12 | dovitinib | 3.09 | 21 |
| 13 | jnj 7706621 | 3.09 | 21 |
| 14 | lestaurtinib | 3.04 | 20 |
| 15 | pf 03758309 | 3.00 | 19 |
| 16 | ruboxistaurin | 2.94 | 18 |
| 17 | danusertib | 2.94 | 18 |
| 18 | orantinib | 2.89 | 17 |
| 19 | k 252a | 2.83 | 16 |
| 20 | cediranib | 2.83 | 16 |
| 21 | pf 00562271 | 2.77 | 15 |
| 22 | crenolanib | 2.71 | 14 |
| 23 | kw 2449 | 2.64 | 13 |
| 24 | ast 487 | 2.56 | 12 |
| 25 | zotiraciclib | 2.56 | 12 |
| 26 | defactinib | 2.48 | 11 |
| 27 | mk 5108 | 2.48 | 11 |
| 28 | azd 7762 | 2.30 | 9 |
| 29 | azd 1480 | 2.30 | 9 |
| 30 | su 014813 | 2.20 | 8 |
| 31 | rebastinib | 2.20 | 8 |
| 32 | cyc 116 | 2.08 | 7 |
| 33 | cerdulatinib | 1.95 | 6 |
| 34 | pf 03814735 | 1.79 | 5 |
| 35 | ucn 01 | 1.79 | 5 |
| 36 | Axitinib | 0.69 | 1 |
| 37 | Crizotinib | 0.69 | 1 |
| 38 | sp600125 | 0.69 | 1 |
About STK4 as a Drug Target
STK4 (serine/threonine kinase 4) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 38 compounds with documented STK4 interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.
STK4 inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.