cyc 202 has been researched along with Src Inhibitor-1 in 4 studies
| Studies (cyc 202) | Trials (cyc 202) | Recent Studies (post-2010) (cyc 202) | Studies (Src Inhibitor-1) | Trials (Src Inhibitor-1) | Recent Studies (post-2010) (Src Inhibitor-1) |
|---|---|---|---|---|---|
| 979 | 7 | 393 | 13 | 0 | 8 |
| Protein | Taxonomy | cyc 202 (IC50) | Src Inhibitor-1 (IC50) |
|---|---|---|---|
| Receptor-interacting serine/threonine-protein kinase 2 | Homo sapiens (human) | 0.026 | |
| Proto-oncogene tyrosine-protein kinase Src | Gallus gallus (chicken) | 0.18 |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 1 (25.00) | 29.6817 |
| 2010's | 2 (50.00) | 24.3611 |
| 2020's | 1 (25.00) | 2.80 |
| Authors | Studies |
|---|---|
| Alessi, DR; Arthur, JS; Bain, J; Cohen, P; Elliott, M; Hastie, CJ; Klevernic, I; McLauchlan, H; Plater, L; Shpiro, N | 1 |
| 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 |
4 other study(ies) available for cyc 202 and Src Inhibitor-1
| Article | Year |
|---|---|
The selectivity of protein kinase inhibitors: a further update.
Topics: Amino Acid Sequence; Animals; Cell Line; Drug Design; Enzyme Activation; Humans; Mitogen-Activated Protein Kinases; Phosphorylation; Protein Kinase Inhibitors; Recombinant Proteins; Spodoptera | 2007 |
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 |