ERBB4
MOLECULAR TARGETerb-b2 receptor tyrosine kinase 4
ERBB4 (erb-b2 receptor tyrosine kinase 4) is targeted by 36 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 ERBB4
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 | sb 203580 | 4.92 | 136 |
| 4 | ibrutinib | 4.86 | 128 |
| 5 | lapatinib | 4.84 | 126 |
| 6 | alvocidib | 4.52 | 91 |
| 7 | foretinib | 4.34 | 76 |
| 8 | vandetanib | 4.30 | 73 |
| 9 | bosutinib | 4.08 | 58 |
| 10 | bi 2536 | 4.01 | 54 |
| 11 | midostaurin | 3.85 | 46 |
| 12 | brigatinib | 3.81 | 44 |
| 13 | neratinib | 3.66 | 38 |
| 14 | canertinib | 3.53 | 33 |
| 15 | pelitinib | 3.50 | 32 |
| 16 | tae 684 | 3.43 | 30 |
| 17 | fedratinib | 3.40 | 29 |
| 18 | acalabrutinib | 3.22 | 24 |
| 19 | dacomitinib anhydrous | 3.14 | 22 |
| 20 | lestaurtinib | 3.04 | 20 |
| 21 | defosbarasertib | 2.89 | 17 |
| 22 | r 406 | 2.83 | 16 |
| 23 | cediranib | 2.83 | 16 |
| 24 | ritlecitinib | 2.77 | 15 |
| 25 | zanubrutinib | 2.56 | 12 |
| 26 | evobrutinib | 2.48 | 11 |
| 27 | tak 285 | 2.40 | 10 |
| 28 | tg100 115 | 2.08 | 7 |
| 29 | canertinib dihydrochloride | 2.08 | 7 |
| 30 | tirabrutinib | 1.95 | 6 |
| 31 | varlitinib | 1.79 | 5 |
| 32 | ac 480 | 1.79 | 5 |
| 33 | Afatinib | 1.39 | 3 |
| 34 | Dasatinib | 1.10 | 2 |
| 35 | sp600125 | 0.69 | 1 |
| 36 | tyrphostin ag 1478 | 0.69 | 1 |
About ERBB4 as a Drug Target
ERBB4 (erb-b2 receptor tyrosine kinase 4) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 36 compounds with documented ERBB4 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.
ERBB4 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.