MOLECULAR TARGETUniProt: Q9UQB9
AURKC
aurora kinase C
48 compounds · BiohacksAI corpus v20260307-01
48
compounds
Compounds
48
Gene Symbol
AURKC
NCBI Gene
6795
Looking for compounds that interact with AURKC?
View all 48 compounds →About AURKC
AURKC (aurora kinase C) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 48 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.
View AURKC on UniProt →Compounds Targeting AURKC (48)
1
Erlotinib
5.55
confidence
2
Foretinib
4.34
confidence
3
Tozasertib
4.33
confidence
4
Vandetanib
4.30
confidence
5
Ruxolitinib
4.23
confidence
6
Quizartinib
3.99
confidence
7
Midostaurin
3.85
confidence
8
Pazopanib
3.69
confidence
9
Nintedanib
3.61
confidence
10
Canertinib
3.53
confidence
11
6bio
3.50
confidence
12
Bms 387032
3.47
confidence
13
Tae 684
3.43
confidence
14
Fedratinib
3.40
confidence
15
Linifanib
3.33
confidence
16
Mln 8054
3.33
confidence
17
Tandutinib
3.22
confidence
18
Sp 600125
3.22
confidence
19
Indirubin 3 Monoxime
3.22
confidence
20
Dovitinib
3.09
confidence
21
Jnj 7706621
3.09
confidence
22
Lestaurtinib
3.04
confidence
23
Ruboxistaurin
2.94
confidence
24
Danusertib
2.94
confidence
25
Ci 1040
2.94
confidence
26
Defosbarasertib
2.89
confidence
27
Orantinib
2.89
confidence
28
Barasertib
2.89
confidence
29
R 406
2.83
confidence
30
Cediranib
2.83
confidence
31
Pha 665752
2.71
confidence
32
Plx 4720
2.71
confidence
33
Kw 2449
2.64
confidence
34
Ast 487
2.56
confidence
35
Motesanib
2.48
confidence
36
Mk 5108
2.48
confidence
37
Bms 754807
2.30
confidence
38
Reversine
2.30
confidence
39
Pha 680632
2.30
confidence
40
Su 014813
2.20
confidence
41
Gsk 1070916
2.20
confidence
42
Cyc 116
2.08
confidence
43
Amg 900
2.08
confidence
44
Ilorasertib
1.79
confidence
300
studies
1.61
confidence
46
117
studies
1.10
confidence
47
298
studies
0.69
confidence
298
studies
0.69
confidence
Top 48 compounds by confidence score. Derived from BindingDB assay data.
Data Source
Corpusv20260307-01
SourceBindingDB · ChEMBL · PubMed
All data is computationally derived from published research. Not medical advice. Independent validation required.