CIT
MOLECULAR TARGETcitron rho-interacting serine/threonine kinase
CIT (citron rho-interacting serine/threonine kinase) is targeted by 39 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 CIT
Ranked by bioassay confidence score (PubChem active assay count × evidence quality).
| # | Compound | Confidence | Active Assays |
|---|---|---|---|
| 1 | gefitinib | 5.67 | 290 |
| 2 | erlotinib | 5.55 | 256 |
| 3 | sb 203580 | 4.92 | 136 |
| 4 | alvocidib | 4.52 | 91 |
| 5 | foretinib | 4.34 | 76 |
| 6 | vandetanib | 4.30 | 73 |
| 7 | ruxolitinib | 4.23 | 68 |
| 8 | bosutinib | 4.08 | 58 |
| 9 | doramapimod | 4.06 | 57 |
| 10 | bi 2536 | 4.01 | 54 |
| 11 | vatalanib | 3.69 | 39 |
| 12 | abemaciclib | 3.66 | 38 |
| 13 | fasudil | 3.66 | 38 |
| 14 | sb 202190 | 3.64 | 37 |
| 15 | baricitinib | 3.56 | 34 |
| 16 | canertinib | 3.53 | 33 |
| 17 | pelitinib | 3.50 | 32 |
| 18 | bms 387032 | 3.47 | 31 |
| 19 | fedratinib | 3.40 | 29 |
| 20 | gilteritinib | 3.40 | 29 |
| 21 | dovitinib | 3.09 | 21 |
| 22 | lestaurtinib | 3.04 | 20 |
| 23 | ruboxistaurin | 2.94 | 18 |
| 24 | defosbarasertib | 2.89 | 17 |
| 25 | momelotinib | 2.89 | 17 |
| 26 | r 406 | 2.83 | 16 |
| 27 | kw 2449 | 2.64 | 13 |
| 28 | gsk 690693 | 2.64 | 13 |
| 29 | ast 487 | 2.56 | 12 |
| 30 | raf 265 | 2.48 | 11 |
| 31 | motesanib | 2.48 | 11 |
| 32 | su 014813 | 2.20 | 8 |
| 33 | gsk 1070916 | 2.20 | 8 |
| 34 | y 39983 | 2.20 | 8 |
| 35 | cyc 116 | 2.08 | 7 |
| 36 | afuresertib | 1.79 | 5 |
| 37 | Sorafenib | 1.39 | 3 |
| 38 | Afatinib | 0.69 | 1 |
| 39 | hydroxyfasudil [Supplementary Concept] | 0.69 | 1 |
About CIT as a Drug Target
CIT (citron rho-interacting serine/threonine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 39 compounds with documented CIT 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.
CIT 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.