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BiohacksAI

Evidence-Based Biohacking

Patent Pending

FGFR2

MOLECULAR TARGET

fibroblast growth factor receptor 2

UniProt: P21802NCBI Gene: 226347 compounds

FGFR2 (fibroblast growth factor receptor 2) 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 FGFR2

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

#CompoundConfidenceActive Assays
1erlotinib5.55256
2ibrutinib4.86128
3foretinib4.3476
4tozasertib4.3375
5vandetanib4.3073
6ponatinib4.2670
7ceritinib4.1965
8doramapimod4.0657
9midostaurin3.8546
10brigatinib3.8144
11pazopanib3.6939
12nintedanib3.6136
13tae 6843.4330
14fedratinib3.4029
15mln 80543.3327
16fexagratinib3.3327
17dovitinib3.0921
18jnj 77066213.0921
19at 92833.0921
20lestaurtinib3.0420
21lenvatinib3.0420
22r 4062.8316
23cediranib2.8316
24pd 1730742.8316
25infigratinib2.7715
26erdafitinib2.7715
27pha 6657522.7114
28plx 47202.7114
29kw 24492.6413
30ast 4872.5612
31ly 28744552.5612
32brivanib2.4811
33cudc 1012.4010
34pemigatinib2.4010
35bms 7548072.309
36su 0148132.208
37rebastinib2.208
38futibatinib2.208
39fisogatinib2.208
40mk 24612.087
41lucitanib1.956
42h3b 65271.956
43osi 6321.795
44fgfr inhibitor debio 13471.795
45Sorafenib1.614
46Axitinib0.691
47Dasatinib0.691

About FGFR2 as a Drug Target

FGFR2 (fibroblast growth factor receptor 2) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 47 compounds with documented FGFR2 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.

FGFR2 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.