FGR
MOLECULAR TARGETFGR proto-oncogene, Src family tyrosine kinase
FGR (FGR proto-oncogene, Src family tyrosine kinase) is targeted by 48 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 FGR
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 | imatinib | 5.47 | 236 |
| 4 | ibrutinib | 4.86 | 128 |
| 5 | foretinib | 4.34 | 76 |
| 6 | tozasertib | 4.33 | 75 |
| 7 | vandetanib | 4.30 | 73 |
| 8 | ponatinib | 4.26 | 70 |
| 9 | ceritinib | 4.19 | 65 |
| 10 | nilotinib | 4.17 | 64 |
| 11 | bosutinib | 4.08 | 58 |
| 12 | doramapimod | 4.06 | 57 |
| 13 | midostaurin | 3.85 | 46 |
| 14 | brigatinib | 3.81 | 44 |
| 15 | pazopanib | 3.69 | 39 |
| 16 | neratinib | 3.66 | 38 |
| 17 | nintedanib | 3.61 | 36 |
| 18 | canertinib | 3.53 | 33 |
| 19 | pelitinib | 3.50 | 32 |
| 20 | tae 684 | 3.43 | 30 |
| 21 | fedratinib | 3.40 | 29 |
| 22 | mln 8054 | 3.33 | 27 |
| 23 | saracatinib | 3.33 | 27 |
| 24 | dabrafenib | 3.30 | 26 |
| 25 | neflamapimod | 3.30 | 26 |
| 26 | dovitinib | 3.09 | 21 |
| 27 | jnj 7706621 | 3.09 | 21 |
| 28 | at 9283 | 3.09 | 21 |
| 29 | lestaurtinib | 3.04 | 20 |
| 30 | pf 03758309 | 3.00 | 19 |
| 31 | r 406 | 2.83 | 16 |
| 32 | cediranib | 2.83 | 16 |
| 33 | masitinib | 2.77 | 15 |
| 34 | pha 665752 | 2.71 | 14 |
| 35 | plx 4720 | 2.71 | 14 |
| 36 | apitolisib | 2.71 | 14 |
| 37 | kw 2449 | 2.64 | 13 |
| 38 | ast 487 | 2.56 | 12 |
| 39 | atuveciclib | 2.56 | 12 |
| 40 | zanubrutinib | 2.56 | 12 |
| 41 | motesanib | 2.48 | 11 |
| 42 | su 014813 | 2.20 | 8 |
| 43 | rebastinib | 2.20 | 8 |
| 44 | Axitinib | 1.10 | 2 |
| 45 | Dasatinib | 1.10 | 2 |
| 46 | Crizotinib | 0.69 | 1 |
| 47 | Sorafenib | 0.69 | 1 |
| 48 | tyrphostin ag 1478 | 0.69 | 1 |
About FGR as a Drug Target
FGR (FGR proto-oncogene, Src family tyrosine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 48 compounds with documented FGR 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.
FGR 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.