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.
BiohacksAI is an evolving research platform. New compounds and evidence are added continuously.
B

Compounds That Target MARK2

microtubule affinity regulating kinase 2 · 42 compounds in BiohacksAI corpus

MARK2 (microtubule affinity regulating kinase 2) is a biological target with 42 documented compound interactions in the BiohacksAI corpus. The compounds listed below have been identified through computational analysis of BindingDB binding assay data and PubMed literature. Each interaction is ranked by confidence score reflecting the breadth and strength of experimental evidence. This resource supports research into MARK2 modulation for therapeutic and biohacking applications.

Most Studied Compounds for MARK2
117+
studies
12+
studies
8+
studies
All 42 Compounds — Ranked by Evidence
1
Tofacitinib
4.65
confidence
2
Tozasertib
4.33
confidence
3
Ruxolitinib
4.23
confidence
4
Doramapimod
4.06
confidence
5
Midostaurin
3.85
confidence
6
Brigatinib
3.81
confidence
7
Silmitasertib
3.78
confidence
8
Nintedanib
3.61
confidence
9
Baricitinib
3.56
confidence
10
Tae 684
3.43
confidence
11
Fedratinib
3.40
confidence
12
Sp 600125
3.22
confidence
13
Dovitinib
3.09
confidence
14
Jnj 7706621
3.09
confidence
15
At 9283
3.09
confidence
16
Lestaurtinib
3.04
confidence
17
Pf 03758309
3.00
confidence
18
Ruboxistaurin
2.94
confidence
19
Danusertib
2.94
confidence
20
Momelotinib
2.89
confidence
21
R 406
2.83
confidence
22
K 252a
2.83
confidence
23
Milciclib
2.77
confidence
24
Pf 00562271
2.77
confidence
25
Pha 665752
2.71
confidence
26
Crenolanib
2.71
confidence
27
Kw 2449
2.64
confidence
28
Gsk 690693
2.64
confidence
29
Defactinib
2.48
confidence
30
Ripasudil
2.40
confidence
31
Azd 7762
2.30
confidence
32
Bms 754807
2.30
confidence
33
Su 014813
2.20
confidence
34
Decernotinib
2.20
confidence
35
Cyc 116
2.08
confidence
36
Uprosertib
1.95
confidence
37
Cerdulatinib
1.95
confidence
38
Pf 03814735
1.79
confidence
39
Ucn 01
1.79
confidence
12+
studies
0.69
confidence
8+
studies
0.69
confidence
117+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for MARK2 (microtubule affinity regulating kinase 2). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: MARK2 target overview · All biological targets · Biological pathways

Data from BindingDB and PubMed. For research purposes only. Not medical advice.