What compounds target AURKC?

BiohacksAI has identified 48 compounds that interact with AURKC (aurora kinase C). Top compounds include: erlotinib, foretinib, tozasertib, vandetanib, ruxolitinib. Each compound is ranked by evidence score derived from PubMed bioassay confidence and assay count.

What is AURKC (aurora kinase C)?

AURKC is aurora kinase C. It is a molecular target for 48 compounds documented in PubMed bioassay data. UniProt ID: Q9UQB9. NCBI Gene ID: 6795.

AURKC

MOLECULAR TARGET

aurora kinase C

UniProt: Q9UQB9 NCBI Gene: 679548 compounds

AURKC (aurora kinase C) is targeted by 48 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 AURKC

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

#	Compound	Confidence	Active Assays
1	erlotinib	5.55	256
2	foretinib	4.34	76
3	tozasertib	4.33	75
4	vandetanib	4.30	73
5	ruxolitinib	4.23	68
6	quizartinib	3.99	53
7	midostaurin	3.85	46
8	pazopanib	3.69	39
9	nintedanib	3.61	36
10	canertinib	3.53	33
11	6bio	3.50	32
12	bms 387032	3.47	31
13	tae 684	3.43	30
14	fedratinib	3.40	29
15	linifanib	3.33	27
16	mln 8054	3.33	27
17	tandutinib	3.22	24
18	sp 600125	3.22	24
19	indirubin 3 monoxime	3.22	24
20	dovitinib	3.09	21
21	jnj 7706621	3.09	21
22	lestaurtinib	3.04	20
23	ruboxistaurin	2.94	18
24	danusertib	2.94	18
25	ci 1040	2.94	18
26	defosbarasertib	2.89	17
27	orantinib	2.89	17
28	barasertib	2.89	17
29	r 406	2.83	16
30	cediranib	2.83	16
31	pha 665752	2.71	14
32	plx 4720	2.71	14
33	kw 2449	2.64	13
34	ast 487	2.56	12
35	motesanib	2.48	11
36	mk 5108	2.48	11
37	bms 754807	2.30	9
38	reversine	2.30	9
39	pha 680632	2.30	9
40	su 014813	2.20	8
41	gsk 1070916	2.20	8
42	cyc 116	2.08	7
43	amg 900	2.08	7
44	ilorasertib	1.79	5
45	Sorafenib	1.61	4
46	sp600125	1.10	2
47	Axitinib	0.69	1
48	Crizotinib	0.69	1

About AURKC as a Drug Target

AURKC (aurora kinase C) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 48 compounds with documented AURKC 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.

AURKC 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.