TNK2
MOLECULAR TARGETtyrosine kinase non receptor 2
TNK2 (tyrosine kinase non receptor 2) is targeted by 40 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 TNK2
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | gefitinib | 5.67 | 290 |
| 2 | osimertinib | 5.03 | 152 |
| 3 | tofacitinib | 4.65 | 104 |
| 4 | foretinib | 4.34 | 76 |
| 5 | tozasertib | 4.33 | 75 |
| 6 | ruxolitinib | 4.23 | 68 |
| 7 | ceritinib | 4.19 | 65 |
| 8 | bosutinib | 4.08 | 58 |
| 9 | midostaurin | 3.85 | 46 |
| 10 | neratinib | 3.66 | 38 |
| 11 | nintedanib | 3.61 | 36 |
| 12 | pelitinib | 3.50 | 32 |
| 13 | larotrectinib | 3.50 | 32 |
| 14 | tae 684 | 3.43 | 30 |
| 15 | fedratinib | 3.40 | 29 |
| 16 | gilteritinib | 3.40 | 29 |
| 17 | saracatinib | 3.33 | 27 |
| 18 | entrectinib | 3.18 | 23 |
| 19 | upadacitinib | 3.09 | 21 |
| 20 | lestaurtinib | 3.04 | 20 |
| 21 | pacritinib | 3.04 | 20 |
| 22 | danusertib | 2.94 | 18 |
| 23 | r 406 | 2.83 | 16 |
| 24 | k 252a | 2.83 | 16 |
| 25 | milciclib | 2.77 | 15 |
| 26 | plx 4720 | 2.71 | 14 |
| 27 | kw 2449 | 2.64 | 13 |
| 28 | mk 5108 | 2.48 | 11 |
| 29 | lorlatinib | 2.48 | 11 |
| 30 | azd 7762 | 2.30 | 9 |
| 31 | aee 788 | 2.30 | 9 |
| 32 | azd 1480 | 2.30 | 9 |
| 33 | su 014813 | 2.20 | 8 |
| 34 | asp 3026 | 2.08 | 7 |
| 35 | pf 03814735 | 1.79 | 5 |
| 36 | ucn 01 | 1.79 | 5 |
| 37 | Dasatinib | 1.10 | 2 |
| 38 | Vemurafenib | 1.10 | 2 |
| 39 | Axitinib | 0.69 | 1 |
| 40 | Crizotinib | 0.69 | 1 |
About TNK2 as a Drug Target
TNK2 (tyrosine kinase non receptor 2) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 40 compounds with documented TNK2 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.
TNK2 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.