l 163191 has been researched along with su 11248 in 3 studies
Studies (l 163191) | Trials (l 163191) | Recent Studies (post-2010) (l 163191) | Studies (su 11248) | Trials (su 11248) | Recent Studies (post-2010) (su 11248) |
---|---|---|---|---|---|
35 | 0 | 17 | 4,338 | 560 | 3,200 |
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 |
---|---|
Davis, MI; Khan, J; Li, SQ; Patel, PR; Shen, M; Sun, H; Thomas, CJ | 1 |
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
Itkin, M; Kabir, M; Mathé, EA; Nguyễn, ÐT; Padilha, EC; Shah, P; Shinn, P; Siramshetty, V; Wang, AQ; Williams, J; Xu, X; Yu, KR; Zhao, T | 1 |
1 review(s) available for l 163191 and su 11248
Article | Year |
---|---|
Using in vitro ADME data for lead compound selection: An emphasis on PAMPA pH 5 permeability and oral bioavailability.
Topics: Administration, Oral; Animals; Betamethasone; Biological Availability; Caco-2 Cells; Cell Membrane Permeability; Cells, Cultured; Dexamethasone; Dogs; Dose-Response Relationship, Drug; Humans; Hydrogen-Ion Concentration; Madin Darby Canine Kidney Cells; Mice; Molecular Structure; Neural Networks, Computer; Ranitidine; Rats; Structure-Activity Relationship; Verapamil | 2022 |
2 other study(ies) available for l 163191 and su 11248
Article | Year |
---|---|
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 |
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 |