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BiohacksAI

Evidence-Based Biohacking

Patent Pending

ABL2

MOLECULAR TARGET

ABL proto-oncogene 2, non-receptor tyrosine kinase

UniProt: P42684NCBI Gene: 2757 compounds

ABL2 (ABL proto-oncogene 2, non-receptor tyrosine kinase) is targeted by 57 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 ABL2

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

#CompoundConfidenceActive Assays
1gefitinib5.67290
2erlotinib5.55256
3imatinib5.47236
4ibrutinib4.86128
5cabozantinib4.3980
6foretinib4.3476
7tozasertib4.3375
8vandetanib4.3073
9ponatinib4.2670
10nilotinib4.1764
11bosutinib4.0858
12doramapimod4.0657
13pazopanib3.6939
14nintedanib3.6136
15canertinib3.5333
16pelitinib3.5032
17tae 6843.4330
18fedratinib3.4029
19bms 7776073.3728
20mln 80543.3327
21saracatinib3.3327
22dabrafenib3.3026
23neflamapimod3.3026
24alisertib3.3026
25dovitinib3.0921
26at 92833.0921
27dasatinib anhydrous3.0921
28lestaurtinib3.0420
29pf 037583093.0019
30danusertib2.9418
31r 4062.8316
32cediranib2.8316
33milciclib2.7715
34masitinib2.7715
35pha 6657522.7114
36plx 47202.7114
37kw 24492.6413
38tivozanib2.6413
39ast 4872.5612
40atuveciclib2.5612
41raf 2652.4811
42motesanib2.4811
43brivanib2.4811
44mk 51082.4811
45azd 77622.309
46aee 7882.309
47rebastinib2.208
48golvatinib2.208
49decernotinib2.208
50glesatinib2.087

Showing top 50 of 57 compounds. Use the BiohacksAI search to explore all ABL2 modulators.

About ABL2 as a Drug Target

ABL2 (ABL proto-oncogene 2, non-receptor tyrosine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 57 compounds with documented ABL2 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.

ABL2 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.