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BiohacksAI

Evidence-Based Biohacking

Patent Pending

FLT1

MOLECULAR TARGET

fms related receptor tyrosine kinase 1

UniProt: P17948NCBI Gene: 232164 compounds

FLT1 (fms related receptor tyrosine kinase 1) is targeted by 64 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 FLT1

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

#CompoundConfidenceActive Assays
1erlotinib5.55256
2cabozantinib4.3980
3foretinib4.3476
4tozasertib4.3375
5vandetanib4.3073
6ponatinib4.2670
7doramapimod4.0657
8quizartinib3.9953
9semaxanib3.9350
10midostaurin3.8546
11pazopanib3.6939
12vatalanib3.6939
13nintedanib3.6136
14regorafenib3.5634
15canertinib3.5333
16bms 3870323.4731
17tae 6843.4330
18pexidartinib3.4330
19fedratinib3.4029
20linifanib3.3327
21mln 80543.3327
22tandutinib3.2224
23dorsomorphin3.1422
24dovitinib3.0921
25jnj 77066213.0921
26at 92833.0921
27lestaurtinib3.0420
28lenvatinib3.0420
29filgotinib3.0420
30defosbarasertib2.8917
31orantinib2.8917
32r 4062.8316
33cediranib2.8316
342378 tetrachlorodibenzo p dioxin2.8316
35infigratinib2.7715
36plx 47202.7114
37kw 24492.6413
38tivozanib2.6413
39ast 4872.5612
40Sorafenib2.4811
41raf 2652.4811
42defactinib2.4811
43motesanib2.4811
44brivanib2.4811
45aee 7882.309
46su 0148132.208
47rebastinib2.208
48gsk 10709162.208
49mk 24612.087
50vadadustat2.087

Showing top 50 of 64 compounds. Use the BiohacksAI search to explore all FLT1 modulators.

About FLT1 as a Drug Target

FLT1 (fms related receptor tyrosine kinase 1) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 64 compounds with documented FLT1 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.

FLT1 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.