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BiohacksAI

Evidence-Based Biohacking

Patent Pending

BMX

MOLECULAR TARGET

BMX non-receptor tyrosine kinase

UniProt: P51813NCBI Gene: 66025 compounds

BMX (BMX non-receptor tyrosine kinase) is targeted by 25 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 BMX

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

#CompoundConfidenceActive Assays
1ibrutinib4.86128
2foretinib4.3476
3tozasertib4.3375
4bosutinib4.0858
5canertinib3.5333
6pelitinib3.5032
7tae 6843.4330
8fedratinib3.4029
9mln 80543.3327
10acalabrutinib3.2224
11jnj 77066213.0921
12lestaurtinib3.0420
13spebrutinib3.0420
14r 4062.8316
15infigratinib2.7715
16ritlecitinib2.7715
17kw 24492.6413
18ast 4872.5612
19zanubrutinib2.5612
20evobrutinib2.4811
21rebastinib2.208
22tirabrutinib1.956
23anilinopyrimidine11.795
24Crizotinib0.691
25bdb pf 06651600 us11111242 example 5 us9617258 example 50.691

About BMX as a Drug Target

BMX (BMX non-receptor tyrosine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 25 compounds with documented BMX 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.

BMX 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.