Page last updated: 2024-09-05
vx-745 and hki 272
vx-745 has been researched along with hki 272 in 3 studies
Compound Research Comparison
| Studies (vx-745) | Trials (vx-745) | Recent Studies (post-2010) (vx-745) | Studies (hki 272) | Trials (hki 272) | Recent Studies (post-2010) (hki 272) |
|---|---|---|---|---|---|
| 58 | 1 | 35 | 283 | 42 | 248 |
Protein Interaction Comparison
| Protein | Taxonomy | vx-745 (IC50) | hki 272 (IC50) |
|---|---|---|---|
| Epidermal growth factor receptor | Homo sapiens (human) | 0.0416 | |
| Receptor tyrosine-protein kinase erbB-2 | Homo sapiens (human) | 0.0298 | |
| Vascular endothelial growth factor receptor 2 | Homo sapiens (human) | 0.8582 | |
| Serine/threonine-protein kinase Nek2 | Homo sapiens (human) | 0.274 |
Research
Studies (3)
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 3 (100.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
Authors
| Authors | Studies |
|---|---|
| Ciceri, P; Davis, MI; Herrgard, S; Hocker, M; Hunt, JP; Pallares, G; Treiber, DK; Wodicka, LM; Zarrinkar, PP | 1 |
| Davis, MI; Khan, J; Li, SQ; Patel, PR; Shen, M; Sun, H; Thomas, CJ | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
Other Studies
3 other study(ies) available for vx-745 and hki 272
| Article | Year |
|---|---|
Comprehensive analysis of kinase inhibitor selectivity.
Topics: Catalysis; Drug Design; Enzyme Stability; High-Throughput Screening Assays; Humans; Protein Binding; Protein Kinase Inhibitors; Protein Kinases; Proteomics; Signal Transduction; Substrate Specificity | 2011 |
Identification of potent Yes1 kinase inhibitors using a library screening approach.
Topics: Binding Sites; Cell Line; Cell Survival; Drug Design; Humans; Hydrogen Bonding; Molecular Docking Simulation; Protein Kinase Inhibitors; Protein Structure, Tertiary; Proto-Oncogene Proteins c-yes; Small Molecule Libraries; Structure-Activity Relationship | 2013 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |