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BiohacksAI

Evidence-Based Biohacking

Patent Pending

PTK2B

MOLECULAR TARGET

protein tyrosine kinase 2 beta

UniProt: Q14289NCBI Gene: 218544 compounds

PTK2B (protein tyrosine kinase 2 beta) 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 PTK2B

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

#CompoundConfidenceActive Assays
1alvocidib4.5291
2foretinib4.3476
3tozasertib4.3375
4ponatinib4.2670
5ceritinib4.1965
6bosutinib4.0858
7doramapimod4.0657
8bi 25364.0154
9midostaurin3.8546
10brigatinib3.8144
11neratinib3.6638
12nintedanib3.6136
13tae 6843.4330
14fedratinib3.4029
15gilteritinib3.4029
16mln 80543.3327
17lestaurtinib3.0420
18pf 037583093.0019
19danusertib2.9418
20r 4062.8316
21k 252a2.8316
22pf 005622712.7715
23hesperadin2.7715
24pha 6657522.7114
25kw 24492.6413
26ast 4872.5612
27defactinib2.4811
28mk 51082.4811
29lorlatinib2.4811
30azd 77622.309
31bms 7548072.309
32azd 14802.309
33tyrphostin 232.309
34su 0148132.208
35rebastinib2.208
36golvatinib2.208
37cyc 1162.087
38asp 30262.087
39pf 038147351.795
40ucn 011.795
41Crizotinib0.691
42cycloheximide0.691
43Pioglitazone0.691
44Zearalenone (S-(E))-3,4,5,6,8,10-Hexahydro-14,16-dihydroxy-3-methyl-1H-2-benzoxacyclotetradec in-1,7(8H)-dione.0.691

About PTK2B as a Drug Target

PTK2B (protein tyrosine kinase 2 beta) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 44 compounds with documented PTK2B 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.

PTK2B 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.