PRKD3
MOLECULAR TARGETprotein kinase D3
PRKD3 (protein kinase D3) is targeted by 43 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 PRKD3
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | alvocidib | 4.52 | 91 |
| 2 | foretinib | 4.34 | 76 |
| 3 | palbociclib | 4.22 | 67 |
| 4 | bosutinib | 4.08 | 58 |
| 5 | bi 2536 | 4.01 | 54 |
| 6 | midostaurin | 3.85 | 46 |
| 7 | brigatinib | 3.81 | 44 |
| 8 | neratinib | 3.66 | 38 |
| 9 | abemaciclib | 3.66 | 38 |
| 10 | fasudil | 3.66 | 38 |
| 11 | nintedanib | 3.61 | 36 |
| 12 | bms 387032 | 3.47 | 31 |
| 13 | tae 684 | 3.43 | 30 |
| 14 | fedratinib | 3.40 | 29 |
| 15 | dabrafenib | 3.30 | 26 |
| 16 | jnj 7706621 | 3.09 | 21 |
| 17 | at 9283 | 3.09 | 21 |
| 18 | lestaurtinib | 3.04 | 20 |
| 19 | pf 03758309 | 3.00 | 19 |
| 20 | momelotinib | 2.89 | 17 |
| 21 | r 406 | 2.83 | 16 |
| 22 | k 252a | 2.83 | 16 |
| 23 | milciclib | 2.77 | 15 |
| 24 | sotrastaurin | 2.77 | 15 |
| 25 | capivasertib | 2.77 | 15 |
| 26 | crenolanib | 2.71 | 14 |
| 27 | kw 2449 | 2.64 | 13 |
| 28 | gsk 690693 | 2.64 | 13 |
| 29 | ast 487 | 2.56 | 12 |
| 30 | zotiraciclib | 2.56 | 12 |
| 31 | gsk 461364 | 2.40 | 10 |
| 32 | azd 7762 | 2.30 | 9 |
| 33 | su 014813 | 2.20 | 8 |
| 34 | gsk 1070916 | 2.20 | 8 |
| 35 | y 39983 | 2.20 | 8 |
| 36 | cyc 116 | 2.08 | 7 |
| 37 | tg100 115 | 2.08 | 7 |
| 38 | amg 900 | 2.08 | 7 |
| 39 | uprosertib | 1.95 | 6 |
| 40 | pf 03814735 | 1.79 | 5 |
| 41 | hydroxyfasudil [Supplementary Concept] | 1.39 | 3 |
| 42 | Crizotinib | 1.10 | 2 |
| 43 | sp600125 | 0.69 | 1 |
About PRKD3 as a Drug Target
PRKD3 (protein kinase D3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 43 compounds with documented PRKD3 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.
PRKD3 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.