clarithromycin has been researched along with thioridazine in 12 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 5 (41.67) | 29.6817 |
| 2010's | 6 (50.00) | 24.3611 |
| 2020's | 1 (8.33) | 2.80 |
| Authors | Studies |
|---|---|
| Keserü, GM | 1 |
| Nagashima, R; Nishikawa, T; Tobita, M | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Jia, L; Sun, H | 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 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Artursson, P; Haglund, U; Karlgren, M; Kimoto, E; Lai, Y; Norinder, U; Vildhede, A; Wisniewski, JR | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Barreca, ML; Cannalire, R; Cecchetti, V; Couto, I; Felicetti, T; Machado, D; Manfroni, G; Massari, S; Sabatini, S; Santos Costa, S; Tabarrini, O; Viveiros, M | 1 |
| Butler-Laporte, G; Menzies, D; Winters, N | 1 |
| Ammerman, NC; Bax, HI; de Steenwinkel, JEM; de Vogel, CP; Mudde, SE; Schildkraut, JA; van Ingen, J | 1 |
2 review(s) available for clarithromycin and thioridazine
| Article | Year |
|---|---|
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 |
Efficacy and safety of World Health Organization group 5 drugs for multidrug-resistant tuberculosis treatment.
Topics: Amoxicillin; Antitubercular Agents; Azithromycin; Cilastatin; Clarithromycin; Clavulanic Acid; HIV Infections; Humans; Imipenem; Isoxazoles; Macrolides; Meropenem; Mycobacterium tuberculosis; Oxazolidinones; Randomized Controlled Trials as Topic; Thienamycins; Thioridazine; Treatment Outcome; Tuberculosis, Multidrug-Resistant; World Health Organization | 2015 |
10 other study(ies) available for clarithromycin and thioridazine
| Article | Year |
|---|---|
Prediction of hERG potassium channel affinity by traditional and hologram qSAR methods.
Topics: Cation Transport Proteins; Databases, Factual; Discriminant Analysis; Ether-A-Go-Go Potassium Channels; Holography; Linear Models; Potassium Channel Blockers; Potassium Channels; Potassium Channels, Voltage-Gated; Quantitative Structure-Activity Relationship | 2003 |
A discriminant model constructed by the support vector machine method for HERG potassium channel inhibitors.
Topics: Animals; CHO Cells; Cricetinae; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Potassium Channel Blockers; Potassium Channels, Voltage-Gated | 2005 |
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 |
Support vector machines classification of hERG liabilities based on atom types.
Topics: Animals; Arrhythmias, Cardiac; CHO Cells; Computer Simulation; Cricetinae; Cricetulus; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Models, Chemical; Patch-Clamp Techniques; Potassium Channel Blockers; Potassium Channels, Voltage-Gated; Predictive Value of Tests; ROC Curve | 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 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 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 |
Natural isoflavone biochanin A as a template for the design of new and potent 3-phenylquinolone efflux inhibitors against Mycobacterium avium.
Topics: Anti-Bacterial Agents; Drug Design; Genistein; Mycobacterium avium; Quinolones | 2017 |
Unraveling antibiotic resistance mechanisms in Mycobacterium abscessus: the potential role of efflux pumps.
Topics: Amikacin; Anti-Bacterial Agents; Cefoxitin; Clarithromycin; Clofazimine; Drug Resistance, Multiple, Bacterial; Humans; Microbial Sensitivity Tests; Mycobacterium abscessus; Thioridazine; Tigecycline; Verapamil | 2022 |