aspirin has been researched along with azaserine in 4 studies
| 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 | 3 (75.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| González-Díaz, H; Orallo, F; Quezada, E; Santana, L; Uriarte, E; Viña, D; Yáñez, M | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Kalipci, E; Koc, A; Oztas, H; Yıldız, D; Yıldız, H | 1 |
1 review(s) available for aspirin and azaserine
| Article | Year |
|---|---|
Inhibitory effects of acetylsalicylic acid on exocrine pancreatic carcinogenesis.
Topics: Acinar Cells; Animals; Anti-Inflammatory Agents, Non-Steroidal; Anticarcinogenic Agents; Aspirin; Azaserine; Carcinogens; Colorectal Neoplasms; Disease Models, Animal; Humans; Male; Pancreas, Exocrine; Pancreatic Neoplasms; Rats; Rats, Wistar | 2013 |
3 other study(ies) available for aspirin and azaserine
| Article | Year |
|---|---|
Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.
Topics: Computational Biology; Drug Design; Humans; Isoenzymes; Molecular Structure; Monoamine Oxidase; Monoamine Oxidase Inhibitors; Quantitative Structure-Activity Relationship | 2008 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |