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B
MOLECULAR TARGETUniProt: O15197

EPHB6

EPH receptor B6

48 compounds · BiohacksAI corpus v20260307-01

48
compounds
Compounds
48
Gene Symbol
EPHB6
NCBI Gene
2051

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About EPHB6

EPHB6 (EPH receptor B6) 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 EPHB6 on UniProt →
Compounds Targeting EPHB6 (48)
1
Gefitinib
5.67
confidence
2
Erlotinib
5.55
confidence
3
Sb 203580
4.92
confidence
4
Foretinib
4.34
confidence
5
Tozasertib
4.33
confidence
6
Vandetanib
4.30
confidence
7
Ruxolitinib
4.23
confidence
8
Nilotinib
4.17
confidence
9
Bosutinib
4.08
confidence
10
Quizartinib
3.99
confidence
11
Midostaurin
3.85
confidence
12
Pazopanib
3.69
confidence
13
Neratinib
3.66
confidence
14
Nintedanib
3.61
confidence
15
Canertinib
3.53
confidence
16
Tae 684
3.43
confidence
17
Fedratinib
3.40
confidence
18
Gilteritinib
3.40
confidence
19
Linifanib
3.33
confidence
20
Saracatinib
3.33
confidence
21
Dabrafenib
3.30
confidence
22
Tandutinib
3.22
confidence
23
Dovitinib
3.09
confidence
24
At 9283
3.09
confidence
25
Dasatinib Anhydrous
3.09
confidence
26
Lestaurtinib
3.04
confidence
27
Adavosertib
3.04
confidence
28
Danusertib
2.94
confidence
29
Defosbarasertib
2.89
confidence
30
R 406
2.83
confidence
31
Cediranib
2.83
confidence
32
Pha 665752
2.71
confidence
33
Plx 4720
2.71
confidence
34
Kw 2449
2.64
confidence
35
Raf 265
2.48
confidence
36
Brivanib
2.48
confidence
37
Tak 285
2.40
confidence
38
Su 014813
2.20
confidence
39
Gsk 1070916
2.20
confidence
40
Golvatinib
2.20
confidence
41
Cyc 116
2.08
confidence
42
Osi 632
1.79
confidence
43
Fgfr Inhibitor Debio 1347
1.79
confidence
298
studies
1.10
confidence
300
studies
1.10
confidence
297
studies
0.69
confidence
298
studies
0.69
confidence
48
Pictilisibdrugage
0
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.