AXL
MOLECULAR TARGETAXL receptor tyrosine kinase
AXL (AXL receptor tyrosine kinase) is targeted by 47 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 AXL
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | gefitinib | 5.67 | 290 |
| 2 | erlotinib | 5.55 | 256 |
| 3 | alvocidib | 4.52 | 91 |
| 4 | cabozantinib | 4.39 | 80 |
| 5 | foretinib | 4.34 | 76 |
| 6 | tozasertib | 4.33 | 75 |
| 7 | vandetanib | 4.30 | 73 |
| 8 | bosutinib | 4.08 | 58 |
| 9 | quizartinib | 3.99 | 53 |
| 10 | midostaurin | 3.85 | 46 |
| 11 | neratinib | 3.66 | 38 |
| 12 | nintedanib | 3.61 | 36 |
| 13 | canertinib | 3.53 | 33 |
| 14 | pelitinib | 3.50 | 32 |
| 15 | tae 684 | 3.43 | 30 |
| 16 | fedratinib | 3.40 | 29 |
| 17 | gilteritinib | 3.40 | 29 |
| 18 | bms 777607 | 3.37 | 28 |
| 19 | linifanib | 3.33 | 27 |
| 20 | mln 8054 | 3.33 | 27 |
| 21 | tandutinib | 3.22 | 24 |
| 22 | dovitinib | 3.09 | 21 |
| 23 | jnj 7706621 | 3.09 | 21 |
| 24 | lestaurtinib | 3.04 | 20 |
| 25 | defosbarasertib | 2.89 | 17 |
| 26 | r 406 | 2.83 | 16 |
| 27 | cediranib | 2.83 | 16 |
| 28 | sotrastaurin | 2.77 | 15 |
| 29 | pha 665752 | 2.71 | 14 |
| 30 | kw 2449 | 2.64 | 13 |
| 31 | bemcentinib | 2.64 | 13 |
| 32 | ast 487 | 2.56 | 12 |
| 33 | merestinib | 2.48 | 11 |
| 34 | bms 754807 | 2.30 | 9 |
| 35 | su 014813 | 2.20 | 8 |
| 36 | rebastinib | 2.20 | 8 |
| 37 | enzastaurin | 2.08 | 7 |
| 38 | sns 314 mesylate | 1.95 | 6 |
| 39 | itacitinib | 1.95 | 6 |
| 40 | Crizotinib | 1.79 | 5 |
| 41 | aigialomycin d | 1.79 | 5 |
| 42 | exelixis | 1.79 | 5 |
| 43 | Sorafenib | 1.61 | 4 |
| 44 | Quercetin | 0.69 | 1 |
| 45 | Afatinib | 0.69 | 1 |
| 46 | Axitinib | 0.69 | 1 |
| 47 | Dasatinib | 0.69 | 1 |
About AXL as a Drug Target
AXL (AXL receptor tyrosine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 47 compounds with documented AXL 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.
AXL 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.