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BiohacksAI

Evidence-Based Biohacking

Patent Pending

FGR

MOLECULAR TARGET

FGR proto-oncogene, Src family tyrosine kinase

UniProt: P09769NCBI Gene: 226848 compounds

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).

#CompoundConfidenceActive Assays
1gefitinib5.67290
2erlotinib5.55256
3imatinib5.47236
4ibrutinib4.86128
5foretinib4.3476
6tozasertib4.3375
7vandetanib4.3073
8ponatinib4.2670
9ceritinib4.1965
10nilotinib4.1764
11bosutinib4.0858
12doramapimod4.0657
13midostaurin3.8546
14brigatinib3.8144
15pazopanib3.6939
16neratinib3.6638
17nintedanib3.6136
18canertinib3.5333
19pelitinib3.5032
20tae 6843.4330
21fedratinib3.4029
22mln 80543.3327
23saracatinib3.3327
24dabrafenib3.3026
25neflamapimod3.3026
26dovitinib3.0921
27jnj 77066213.0921
28at 92833.0921
29lestaurtinib3.0420
30pf 037583093.0019
31r 4062.8316
32cediranib2.8316
33masitinib2.7715
34pha 6657522.7114
35plx 47202.7114
36apitolisib2.7114
37kw 24492.6413
38ast 4872.5612
39atuveciclib2.5612
40zanubrutinib2.5612
41motesanib2.4811
42su 0148132.208
43rebastinib2.208
44Axitinib1.102
45Dasatinib1.102
46Crizotinib0.691
47Sorafenib0.691
48tyrphostin ag 14780.691

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.