BETABiohacksAI is a research tool for informational purposes only. All outputs are computational hypothesis candidates — not confirmed mechanisms, not medical advice, and not a substitute for professional medical judgment. Independent experimental validation is always required.
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B
BiohacksAI/Targets/MET
MOLECULAR TARGETUniProt: P08581

MET

MET proto-oncogene, receptor tyrosine kinase

79 compounds · BiohacksAI corpus v20260307-01

79
compounds
Compounds
79
Gene Symbol
MET
NCBI Gene
4233

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About MET

MET (MET proto-oncogene, receptor tyrosine kinase) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 79 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

View MET on UniProt →
Compounds Targeting MET (50)
1
Gefitinib
5.67
confidence
2
Erlotinib
5.55
confidence
3
Epigalocatechin Gallate
5.40
confidence
4
Sb 203580
4.92
confidence
5
Cabozantinib
4.39
confidence
6
Foretinib
4.34
confidence
7
Tozasertib
4.33
confidence
8
Vandetanib
4.30
confidence
9
Ceritinib
4.19
confidence
10
Bosutinib
4.08
confidence
11
Bi 2536
4.01
confidence
12
Epicatechin Gallate
3.95
confidence
13
Crizotinib
298
studies
3.93
confidence
14
Midostaurin
3.85
confidence
15
Brigatinib
3.81
confidence
16
Pazopanib
3.69
confidence
17
Neratinib
3.66
confidence
18
Nintedanib
3.61
confidence
19
Canertinib
3.53
confidence
20
Pelitinib
3.50
confidence
21
Bms 387032
3.47
confidence
22
Tae 684
3.43
confidence
23
Fedratinib
3.40
confidence
24
Bms 777607
3.37
confidence
25
Linifanib
3.33
confidence
26
Dabrafenib
3.30
confidence
27
Jnj 7706621
3.09
confidence
28
At 9283
3.09
confidence
29
Gallocatechin Gallate
3.09
confidence
30
Lestaurtinib
3.04
confidence
31
Defosbarasertib
2.89
confidence
32
R 406
2.83
confidence
33
Cediranib
2.83
confidence
34
Pf 00562271
2.77
confidence
35
Infigratinib
2.77
confidence
36
Pha 665752
2.71
confidence
37
Jnj 38877605
2.71
confidence
38
Kw 2449
2.64
confidence
39
Tivozanib
2.64
confidence
40
Linsitinib
2.64
confidence
41
Bemcentinib
2.64
confidence
42
Pf 04217903
2.64
confidence
43
Ast 487
2.56
confidence
44
Raf 265
2.48
confidence
45
Merestinib
2.48
confidence
46
Poziotinib
2.48
confidence
47
Tak 285
2.40
confidence
48
Bms 754807
2.30
confidence
49
Sgx 523
2.30
confidence
50
Rigosertib
2.30
confidence
Top 50 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.