naproxen has been researched along with olanzapine in 9 studies
Studies (naproxen) | Trials (naproxen) | Recent Studies (post-2010) (naproxen) | Studies (olanzapine) | Trials (olanzapine) | Recent Studies (post-2010) (olanzapine) |
---|---|---|---|---|---|
4,551 | 1,057 | 1,429 | 6,339 | 1,340 | 2,383 |
Protein | Taxonomy | naproxen (IC50) | olanzapine (IC50) |
---|---|---|---|
5-hydroxytryptamine receptor 4 | Cavia porcellus (domestic guinea pig) | 0.097 | |
Muscarinic acetylcholine receptor M4 | Homo sapiens (human) | 0.155 | |
5-hydroxytryptamine receptor 2C | Rattus norvegicus (Norway rat) | 0.047 | |
Muscarinic acetylcholine receptor M5 | Homo sapiens (human) | 0.04 | |
Alpha-2A adrenergic receptor | Homo sapiens (human) | 0.541 | |
Polyunsaturated fatty acid lipoxygenase ALOX15 | Oryctolagus cuniculus (rabbit) | 2.768 | |
D(2) dopamine receptor | Homo sapiens (human) | 0.118 | |
5-hydroxytryptamine receptor 2A | Rattus norvegicus (Norway rat) | 0.047 | |
Alpha-2B adrenergic receptor | Homo sapiens (human) | 0.421 | |
Alpha-2C adrenergic receptor | Homo sapiens (human) | 0.531 | |
Muscarinic acetylcholine receptor M3 | Homo sapiens (human) | 0.392 | |
D(1A) dopamine receptor | Homo sapiens (human) | 0.072 | |
D(4) dopamine receptor | Homo sapiens (human) | 0.173 | |
Alpha-1D adrenergic receptor | Homo sapiens (human) | 0.092 | |
5-hydroxytryptamine receptor 2A | Homo sapiens (human) | 0.038 | |
5-hydroxytryptamine receptor 2C | Homo sapiens (human) | 0.021 | |
5-hydroxytryptamine receptor 2B | Rattus norvegicus (Norway rat) | 0.047 | |
Sodium-dependent serotonin transporter | Homo sapiens (human) | 1.033 | |
Histamine H1 receptor | Homo sapiens (human) | 0.013 | |
D(3) dopamine receptor | Homo sapiens (human) | 0.078 | |
5-hydroxytryptamine receptor 2B | Homo sapiens (human) | 0.057 | |
5-hydroxytryptamine receptor 6 | Homo sapiens (human) | 0.013 | |
D(2) dopamine receptor | Rattus norvegicus (Norway rat) | 0.158 | |
Potassium voltage-gated channel subfamily H member 2 | Homo sapiens (human) | 0.2028 |
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 3 (33.33) | 29.6817 |
2010's | 6 (66.67) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 1 |
Chang, TK; Ensom, MH; Kiang, TK | 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 |
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 |
Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
Bellman, K; Knegtel, RM; Settimo, L | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
2 review(s) available for naproxen and olanzapine
Article | Year |
---|---|
UDP-glucuronosyltransferases and clinical drug-drug interactions.
Topics: Clinical Trials as Topic; Drug Interactions; Enzyme Activation; Enzyme Induction; Glucuronides; Glucuronosyltransferase; Humans; Pharmaceutical Preparations; Pharmacogenetics; Polymorphism, Genetic | 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 |
7 other study(ies) available for naproxen and olanzapine
Article | Year |
---|---|
QSAR model for drug human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship | 2000 |
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 |
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 |
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 |
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 |