clarithromycin has been researched along with valproic acid in 14 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 5 (35.71) | 29.6817 |
| 2010's | 8 (57.14) | 24.3611 |
| 2020's | 1 (7.14) | 2.80 |
| Authors | Studies |
|---|---|
| Dansette, PM; Fontana, E; Poli, SM | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Andricopulo, AD; Moda, TL; Montanari, CA | 1 |
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Chang, G; El-Kattan, A; Miller, HR; Obach, RS; Rotter, C; Steyn, SJ; Troutman, MD; Varma, MV | 1 |
| Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Artursson, P; Haglund, U; Karlgren, M; Kimoto, E; Lai, Y; Norinder, U; Vildhede, A; Wisniewski, JR | 1 |
| Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Andersen, SE; Belling, KG; Biel, JH; Brunak, S; Eriksson, R; Kaas-Hansen, BS; Leal RodrÃguez, C | 1 |
2 review(s) available for clarithromycin and valproic acid
| Article | Year |
|---|---|
Cytochrome p450 enzymes mechanism based inhibitors: common sub-structures and reactivity.
Topics: Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Drug Interactions; Enzyme Inhibitors; Humans; Isoenzymes; Structure-Activity Relationship; Terminology as Topic | 2005 |
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
12 other study(ies) available for clarithromycin and valproic acid
| Article | Year |
|---|---|
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 |
Hologram QSAR model for the prediction of human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Holography; Humans; Models, Biological; Models, Molecular; Molecular Structure; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship | 2007 |
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding | 2008 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination.
Topics: Administration, Oral; Biological Availability; Humans; Intestinal Absorption; Pharmaceutical Preparations | 2010 |
Developing structure-activity relationships for the prediction of hepatotoxicity.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes | 2010 |
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 |
Classification of inhibitors of hepatic organic anion transporting polypeptides (OATPs): influence of protein expression on drug-drug interactions.
Topics: Atorvastatin; Biological Transport; Drug Interactions; Estradiol; Estrone; HEK293 Cells; Heptanoic Acids; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors; In Vitro Techniques; Least-Squares Analysis; Liver; Liver-Specific Organic Anion Transporter 1; Models, Molecular; Multivariate Analysis; Organic Anion Transporters; Organic Anion Transporters, Sodium-Independent; Protein Isoforms; Pyrroles; Solute Carrier Organic Anion Transporter Family Member 1B3; Structure-Activity Relationship; Transfection | 2012 |
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding | 2012 |
Drug interactions in hospital prescriptions in Denmark: Prevalence and associations with adverse outcomes.
Topics: Aftercare; Aged; Anti-Inflammatory Agents, Non-Steroidal; Clarithromycin; Cohort Studies; Cross-Sectional Studies; Denmark; Drug Interactions; Drug Prescriptions; Female; Hospitals; Humans; Male; Middle Aged; Patient Discharge; Prevalence; Terbinafine; Valproic Acid; Warfarin | 2022 |