norketamine has been researched along with motesanib in 3 studies
| Studies (norketamine) | Trials (norketamine) | Recent Studies (post-2010) (norketamine) | Studies (motesanib) | Trials (motesanib) | Recent Studies (post-2010) (motesanib) |
|---|---|---|---|---|---|
| 220 | 32 | 122 | 22 | 0 | 17 |
| Protein | Taxonomy | norketamine (IC50) | motesanib (IC50) |
|---|---|---|---|
| Epidermal growth factor receptor | Homo sapiens (human) | 0.024 | |
| Proto-oncogene tyrosine-protein kinase receptor Ret | Homo sapiens (human) | 0.036 | |
| Platelet-derived growth factor receptor beta | Homo sapiens (human) | 0.024 | |
| Mast/stem cell growth factor receptor Kit | Homo sapiens (human) | 0.024 | |
| Fibroblast growth factor receptor 1 | Homo sapiens (human) | 0.024 | |
| Proto-oncogene tyrosine-protein kinase Src | Homo sapiens (human) | 0.024 | |
| Vascular endothelial growth factor receptor 1 | Homo sapiens (human) | 0.0174 | |
| Vascular endothelial growth factor receptor 3 | Homo sapiens (human) | 0.02 | |
| Vascular endothelial growth factor receptor 2 | Mus musculus (house mouse) | 0.024 | |
| Vascular endothelial growth factor receptor 2 | Homo sapiens (human) | 0.0164 | |
| Mitogen-activated protein kinase 14 | Homo sapiens (human) | 0.024 |
| 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 | 2 (66.67) | 24.3611 |
| 2020's | 1 (33.33) | 2.80 |
| Authors | Studies |
|---|---|
| Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
3 other study(ies) available for norketamine and motesanib
| Article | Year |
|---|---|
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
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 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |