What compounds target STK3?

BiohacksAI has identified 41 compounds that interact with STK3 (serine/threonine kinase 3). Top compounds include: tofacitinib, alvocidib, tozasertib, bosutinib, midostaurin. Each compound is ranked by evidence score derived from PubMed bioassay confidence and assay count.

What is STK3 (serine/threonine kinase 3)?

STK3 is serine/threonine kinase 3. It is a molecular target for 41 compounds documented in PubMed bioassay data. NCBI Gene ID: 6788.

STK3

MOLECULAR TARGET

serine/threonine kinase 3

NCBI Gene: 678841 compounds

STK3 (serine/threonine kinase 3) is targeted by 41 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 STK3

Ranked by bioassay confidence score (PubChem active assay count × evidence quality).

#	Compound	Confidence	Active Assays
1	tofacitinib	4.65	104
2	alvocidib	4.52	91
3	tozasertib	4.33	75
4	bosutinib	4.08	58
5	midostaurin	3.85	46
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	dovitinib	3.09	21
12	jnj 7706621	3.09	21
13	lestaurtinib	3.04	20
14	pf 03758309	3.00	19
15	ruboxistaurin	2.94	18
16	danusertib	2.94	18
17	orantinib	2.89	17
18	r 406	2.83	16
19	k 252a	2.83	16
20	pf 00562271	2.77	15
21	pha 665752	2.71	14
22	crenolanib	2.71	14
23	ast 487	2.56	12
24	zotiraciclib	2.56	12
25	defactinib	2.48	11
26	mk 5108	2.48	11
27	azd 7762	2.30	9
28	bms 754807	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	enzastaurin	2.08	7
34	cerdulatinib	1.95	6
35	pf 03814735	1.79	5
36	ucn 01	1.79	5
37	sp600125	1.61	4
38	kenpaullone	1.10	2
39	alsterpaullone	0.69	1
40	Axitinib	0.69	1
41	Crizotinib	0.69	1

About STK3 as a Drug Target

STK3 (serine/threonine kinase 3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 41 compounds with documented STK3 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.

STK3 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.