MARK3
MOLECULAR TARGETmicrotubule affinity regulating kinase 3
MARK3 (microtubule affinity regulating kinase 3) is targeted by 39 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).
Compounds Targeting MARK3
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | tofacitinib | 4.65 | 104 |
| 2 | tozasertib | 4.33 | 75 |
| 3 | ruxolitinib | 4.23 | 68 |
| 4 | midostaurin | 3.85 | 46 |
| 5 | brigatinib | 3.81 | 44 |
| 6 | pazopanib | 3.69 | 39 |
| 7 | nintedanib | 3.61 | 36 |
| 8 | baricitinib | 3.56 | 34 |
| 9 | tae 684 | 3.43 | 30 |
| 10 | fedratinib | 3.40 | 29 |
| 11 | dovitinib | 3.09 | 21 |
| 12 | jnj 7706621 | 3.09 | 21 |
| 13 | at 9283 | 3.09 | 21 |
| 14 | lestaurtinib | 3.04 | 20 |
| 15 | pf 03758309 | 3.00 | 19 |
| 16 | danusertib | 2.94 | 18 |
| 17 | momelotinib | 2.89 | 17 |
| 18 | r 406 | 2.83 | 16 |
| 19 | k 252a | 2.83 | 16 |
| 20 | milciclib | 2.77 | 15 |
| 21 | pf 00562271 | 2.77 | 15 |
| 22 | crenolanib | 2.71 | 14 |
| 23 | kw 2449 | 2.64 | 13 |
| 24 | gsk 690693 | 2.64 | 13 |
| 25 | defactinib | 2.48 | 11 |
| 26 | ripasudil | 2.40 | 10 |
| 27 | azd 7762 | 2.30 | 9 |
| 28 | bms 754807 | 2.30 | 9 |
| 29 | su 014813 | 2.20 | 8 |
| 30 | decernotinib | 2.20 | 8 |
| 31 | y 39983 | 2.20 | 8 |
| 32 | cyc 116 | 2.08 | 7 |
| 33 | uprosertib | 1.95 | 6 |
| 34 | sra 737 | 1.95 | 6 |
| 35 | pf 03814735 | 1.79 | 5 |
| 36 | ucn 01 | 1.79 | 5 |
| 37 | kenpaullone | 1.10 | 2 |
| 38 | sp600125 | 1.10 | 2 |
| 39 | alsterpaullone | 0.69 | 1 |
About MARK3 as a Drug Target
MARK3 (microtubule affinity regulating kinase 3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 39 compounds with documented MARK3 interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.
MARK3 inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.