4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide has been researched along with cep-32496 in 3 studies
| Studies (4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide) | Trials (4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide) | Recent Studies (post-2010) (4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide) | Studies (cep-32496) | Trials (cep-32496) | Recent Studies (post-2010) (cep-32496) |
|---|---|---|---|---|---|
| 62 | 0 | 14 | 18 | 0 | 16 |
| Protein | Taxonomy | 4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide (IC50) | cep-32496 (IC50) |
|---|---|---|---|
| Tyrosine-protein kinase ABL1 | Homo sapiens (human) | 0.006 | |
| RAF proto-oncogene serine/threonine-protein kinase | Homo sapiens (human) | 0.146 | |
| Proto-oncogene tyrosine-protein kinase receptor Ret | Homo sapiens (human) | 0.0543 | |
| Serine/threonine-protein kinase B-raf | Homo sapiens (human) | 0.082 | |
| Ephrin type-A receptor 2 | Homo sapiens (human) | 0.028 | |
| Cytochrome P450 2C19 | Homo sapiens (human) | 3.4 | |
| Vascular endothelial growth factor receptor 2 | Homo sapiens (human) | 0.03 | |
| Nuclear receptor coactivator 4 | Homo sapiens (human) | 0.0004 | |
| Coiled-coil domain-containing protein 6 | Homo sapiens (human) | 0.0037 |
| 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 4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide and cep-32496
| 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 |