metformin has been researched along with carbamazepine in 16 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 4 (25.00) | 29.6817 |
| 2010's | 10 (62.50) | 24.3611 |
| 2020's | 2 (12.50) | 2.80 |
| Authors | Studies |
|---|---|
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM | 1 |
| Chen, L; He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Wang, Y; Zhang, W | 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 |
| 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 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Bleumink, R; Boon, L; Fiechter, D; Hassing, I; Kwast, LM; Ludwig, IS; Pieters, RH | 1 |
| Moermond, CT; Smit, CE | 1 |
| Bianco, G; Bufo, SA; Caniani, D; Coviello, D; Cristina Lafiosca, M; Mancini, IM; Masi, S; Pascale, R; Scrano, L | 1 |
| Corsini, E; Galbiati, V; Iulini, M; Maddalon, A; Marinovich, M | 1 |
1 review(s) available for metformin and carbamazepine
| 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 |
15 other study(ies) available for metformin and carbamazepine
| 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 |
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship | 2008 |
Prediction of volume of distribution values in human using immobilized artificial membrane partitioning coefficients, the fraction of compound ionized and plasma protein binding data.
Topics: Blood Proteins; Chemistry, Physical; Computer Simulation; Humans; Membranes, Artificial; Models, Biological; Pharmaceutical Preparations; Protein Binding; Tissue Distribution | 2009 |
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 |
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 |
Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship | 2012 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Oral exposure to drugs with immune-adjuvant potential induces hypersensitivity responses to the reporter antigen TNP-OVA.
Topics: Acetaminophen; Acetanilides; Adjuvants, Immunologic; Administration, Oral; Animals; Antibody Formation; Carbamazepine; Drug Evaluation, Preclinical; Drug Hypersensitivity; Female; Injections, Epidural; Local Lymph Node Assay; Metformin; Mice; Mice, Inbred C3H; Mice, Inbred C57BL; Ofloxacin; Ovalbumin | 2011 |
Derivation of water quality standards for carbamazepine, metoprolol, and metformin and comparison with monitoring data.
Topics: Carbamazepine; Ecosystem; Ecotoxicology; Environmental Monitoring; Metformin; Metoprolol; Toxicity Tests, Acute; Toxicity Tests, Chronic; Water Pollutants, Chemical; Water Quality | 2016 |
Validation of a liquid chromatography coupled with tandem mass spectrometry method for the determination of drugs in wastewater using a three-phase solvent system.
Topics: Amoxicillin; Carbamazepine; Chromatography, Liquid; Clarithromycin; Erythromycin; Metformin; Particle Size; Solvents; Surface Properties; Tandem Mass Spectrometry; Wastewater; Water Pollutants, Chemical | 2020 |
In vitro identification of drugs inducing systemic hypersensitivity reactions known in vivo to be associated with specific HLA genotypes.
Topics: B7-2 Antigen; Carbamazepine; Cell Survival; Clozapine; Dideoxynucleosides; Drug Hypersensitivity; Genotype; HLA Antigens; Humans; Intercellular Adhesion Molecule-1; Interleukin-8; Metformin; THP-1 Cells | 2020 |