naproxen has been researched along with methyldopa in 15 studies
| Studies (naproxen) | Trials (naproxen) | Recent Studies (post-2010) (naproxen) | Studies (methyldopa) | Trials (methyldopa) | Recent Studies (post-2010) (methyldopa) |
|---|---|---|---|---|---|
| 4,551 | 1,057 | 1,429 | 3,719 | 420 | 143 |
| Protein | Taxonomy | naproxen (IC50) | methyldopa (IC50) |
|---|---|---|---|
| Epidermal growth factor receptor | Homo sapiens (human) | 5.228 | |
| Tyrosine-protein kinase Fyn | Homo sapiens (human) | 5.176 | |
| Polyunsaturated fatty acid lipoxygenase ALOX15 | Oryctolagus cuniculus (rabbit) | 2.126 |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (6.67) | 18.2507 |
| 2000's | 1 (6.67) | 29.6817 |
| 2010's | 13 (86.67) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Ax, F; Bonham, NM; Hallberg, A; Karlén, A; Lennernäs, H; Winiwarter, S | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Campillo, NE; Guerra, A; Páez, JA | 1 |
| García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
| Avdeef, A; Tam, KY | 1 |
| Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Bellera, CL; Bruno-Blanch, LE; Castro, EA; Duchowicz, PR; Goodarzi, M; Ortiz, EV; Pesce, G; Talevi, A | 1 |
| Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K | 1 |
| Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 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 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for naproxen and methyldopa
| 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 |
14 other study(ies) available for naproxen and methyldopa
| Article | Year |
|---|---|
Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach.
Topics: Humans; Intestinal Absorption; Jejunum; Models, Biological; Multivariate Analysis; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship | 1998 |
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 |
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 |
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 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
How well can the Caco-2/Madin-Darby canine kidney models predict effective human jejunal permeability?
Topics: Animals; Disease Models, Animal; Dogs; Humans; Jejunal Diseases; Kidney Diseases; Models, Biological; Permeability; Porosity; Regression Analysis | 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 |
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |
Prediction of drug intestinal absorption by new linear and non-linear QSPR.
Topics: Humans; Intestinal Absorption; Linear Models; Molecular Conformation; Nonlinear Dynamics; Permeability; Pharmaceutical Preparations; Probability; Quantitative Structure-Activity Relationship; Thermodynamics | 2011 |
QSAR-based permeability model for drug-like compounds.
Topics: Caco-2 Cells; Cell Membrane Permeability; Drug Discovery; Humans; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship | 2011 |
FDA-approved drug labeling for the study of drug-induced liver injury.
Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration | 2011 |
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 |
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 |
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds.
Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation | 2014 |