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BiohacksAI

Evidence-Based Biohacking

Patent Pending

FGFR3

MOLECULAR TARGET

fibroblast growth factor receptor 3

UniProt: P22607NCBI Gene: 226144 compounds

FGFR3 (fibroblast growth factor receptor 3) is targeted by 44 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 FGFR3

Ranked by bioassay confidence score (PubChem active assay count × evidence quality).

#CompoundConfidenceActive Assays
1foretinib4.3476
2tozasertib4.3375
3vandetanib4.3073
4ponatinib4.2670
5ceritinib4.1965
6midostaurin3.8546
7brigatinib3.8144
8pazopanib3.6939
9nintedanib3.6136
10tae 6843.4330
11fedratinib3.4029
12mln 80543.3327
13fexagratinib3.3327
14dovitinib3.0921
15jnj 77066213.0921
16at 92833.0921
17lestaurtinib3.0420
18r 4062.8316
19cediranib2.8316
20pd 1730742.8316
21infigratinib2.7715
22erdafitinib2.7715
23pha 6657522.7114
24kw 24492.6413
25ast 4872.5612
26ly 28744552.5612
27brivanib2.4811
28pemigatinib2.4010
29bms 7548072.309
30elliptinium2.309
31su 0148132.208
32rebastinib2.208
33futibatinib2.208
34fisogatinib2.208
35mk 24612.087
36Sorafenib1.956
37lucitanib1.956
38h3b 65271.956
39osi 6321.795
40fgfr inhibitor debio 13471.795
41Axitinib1.102
42Crizotinib1.102
43Dasatinib0.691
44sp6001250.691

About FGFR3 as a Drug Target

FGFR3 (fibroblast growth factor receptor 3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 44 compounds with documented FGFR3 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.

FGFR3 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.