acebutolol has been researched along with cci 15641 in 3 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 2 (66.67) | 29.6817 |
| 2010's | 1 (33.33) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Alvarez-Pedraglio, A; Colmenarejo, G; Lavandera, JL | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Campillo, NE; Guerra, A; Páez, JA | 1 |
3 other study(ies) available for acebutolol and cci 15641
| Article | Year |
|---|---|
Cheminformatic models to predict binding affinities to human serum albumin.
Topics: Adrenergic beta-Antagonists; Antidepressive Agents, Tricyclic; Chromatography, Affinity; Cyclooxygenase Inhibitors; Databases, Factual; Humans; Hydrophobic and Hydrophilic Interactions; Penicillins; Pharmaceutical Preparations; Protein Binding; Quantitative Structure-Activity Relationship; Reproducibility of Results; Serum Albumin; Steroids | 2001 |
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration | 2004 |
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical | 2010 |