MOLECULAR TARGETUniProt: P15056
BRAF
B-Raf proto-oncogene, serine/threonine kinase
45 compounds · BiohacksAI corpus v20260307-01
45
compounds
Compounds
45
Gene Symbol
BRAF
NCBI Gene
673
Looking for compounds that interact with BRAF?
View all 45 compounds →About BRAF
BRAF (B-Raf proto-oncogene, serine/threonine kinase) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 45 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.
View BRAF on UniProt →Compounds Targeting BRAF (45)
1
Gefitinib
5.67
confidence
2
Erlotinib
5.55
confidence
3
Imatinib
5.47
confidence
4
Sb 203580
4.92
confidence
300
studies
4.48
confidence
6
Foretinib
4.34
confidence
298
studies
4.33
confidence
8
Ponatinib
4.26
confidence
9
Ruxolitinib
4.23
confidence
10
Nilotinib
4.17
confidence
11
Pi 103
4.17
confidence
12
Doramapimod
4.06
confidence
13
Pazopanib
3.69
confidence
14
Abemaciclib
3.66
confidence
15
Sb 202190
3.64
confidence
16
Regorafenib
3.56
confidence
17
Bms 387032
3.47
confidence
18
Fedratinib
3.40
confidence
19
Dabrafenib
3.30
confidence
20
Mirdametinib
3.18
confidence
21
Gw305074x
3.14
confidence
22
Dasatinib Anhydrous
3.09
confidence
23
R 406
2.83
confidence
24
Infigratinib
2.77
confidence
25
Masitinib
2.77
confidence
26
Plx 4720
2.71
confidence
27
Cobimetinib
2.64
confidence
28
Ast 487
2.56
confidence
29
Raf 265
2.48
confidence
30
Motesanib
2.48
confidence
31
Sb590885
2.40
confidence
32
Avutometinib
2.30
confidence
33
Rebastinib
2.20
confidence
34
Encorafenib
2.20
confidence
35
Tg100 115
2.08
confidence
36
Amg 900
2.08
confidence
37
Ly 3009120
2.08
confidence
38
Cep 32496
1.95
confidence
39
Bafetinib
1.95
confidence
40
Maleimide
1.95
confidence
41
Bastadin 7
1.95
confidence
42
Naporafenib
1.95
confidence
299
studies
1.10
confidence
44
Myricetinflavonoids
0
studies
0.69
confidence
300
studies
0.69
confidence
Top 45 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.