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BiohacksAI

Evidence-Based Biohacking

Patent Pending

RIPK3

MOLECULAR TARGET

receptor interacting serine/threonine kinase 3

UniProt: Q9Y572NCBI Gene: 1103536 compounds

RIPK3 (receptor interacting serine/threonine kinase 3) is targeted by 36 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 RIPK3

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

#CompoundConfidenceActive Assays
1gefitinib5.67290
2ibrutinib4.86128
3cabozantinib4.3980
4foretinib4.3476
5ponatinib4.2670
6nilotinib4.1764
7quizartinib3.9953
8silmitasertib3.7843
9pazopanib3.6939
10regorafenib3.5634
11canertinib3.5333
12gilteritinib3.4029
13saracatinib3.3327
14fexagratinib3.3327
15dabrafenib3.3026
16gw305074x3.1422
17dacomitinib anhydrous3.1422
18lenvatinib3.0420
19galunisertib2.9418
20tivozanib2.6413
21linsitinib2.6413
22motesanib2.4811
23poziotinib2.4811
24rebastinib2.208
25golvatinib2.208
26encorafenib2.208
27cyc 1162.087
28tg100 1152.087
29osi 9302.087
30cep 324961.956
31bafetinib1.956
32sapitinib1.956
33tucatinib1.956
34rivoceranib1.956
35varlitinib1.795
36Vemurafenib0.691

About RIPK3 as a Drug Target

RIPK3 (receptor interacting serine/threonine kinase 3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 36 compounds with documented RIPK3 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.

RIPK3 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.