haloperidol has been researched along with emetine in 11 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 2 (18.18) | 29.6817 |
| 2010's | 6 (54.55) | 24.3611 |
| 2020's | 3 (27.27) | 2.80 |
| Authors | Studies |
|---|---|
| Bacsó, Z; Cianfriglia, M; Fenyvesi, F; Goda, K; Kappelmayer, J; Lustyik, G; Nagy, H; Szabó, G; Szilasi, M | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Afshari, CA; Eschenberg, M; Hamadeh, HK; Lee, PH; Lightfoot-Dunn, R; Morgan, RE; Qualls, CW; Ramachandran, B; Trauner, M; van Staden, CJ | 1 |
| Chen, X; Lin, X; Skolnik, S; Wang, J | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
| Itkin, M; Kabir, M; Mathé, EA; Nguyễn, ÐT; Padilha, EC; Shah, P; Shinn, P; Siramshetty, V; Wang, AQ; Williams, J; Xu, X; Yu, KR; Zhao, T | 1 |
| Dranchak, PK; Huang, R; Inglese, J; Lamy, L; Oliphant, E; Queme, B; Tao, D; Wang, Y; Xia, M | 1 |
1 review(s) available for haloperidol and emetine
| Article | Year |
|---|---|
Using in vitro ADME data for lead compound selection: An emphasis on PAMPA pH 5 permeability and oral bioavailability.
Topics: Administration, Oral; Animals; Betamethasone; Biological Availability; Caco-2 Cells; Cell Membrane Permeability; Cells, Cultured; Dexamethasone; Dogs; Dose-Response Relationship, Drug; Humans; Hydrogen-Ion Concentration; Madin Darby Canine Kidney Cells; Mice; Molecular Structure; Neural Networks, Computer; Ranitidine; Rats; Structure-Activity Relationship; Verapamil | 2022 |
10 other study(ies) available for haloperidol and emetine
| Article | Year |
|---|---|
Distinct groups of multidrug resistance modulating agents are distinguished by competition of P-glycoprotein-specific antibodies.
Topics: Adenosine Triphosphatases; Animals; Anti-Bacterial Agents; Antibodies, Monoclonal; Antineoplastic Agents; ATP Binding Cassette Transporter, Subfamily B, Member 1; Binding, Competitive; Calcium Channel Blockers; Cyclosporine; Detergents; Drug Resistance, Multiple; Drug Resistance, Neoplasm; Flow Cytometry; Fluoresceins; Humans; Ivermectin; Mice; NIH 3T3 Cells; Substrate Specificity | 2004 |
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 |
Interference with bile salt export pump function is a susceptibility factor for human liver injury in drug development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Assay; Biological Transport; Cell Line; Cell Membrane; Chemical and Drug Induced Liver Injury; Cytoplasmic Vesicles; Drug Evaluation, Preclinical; Humans; Liver; Rats; Reproducibility of Results; Spodoptera; Transfection; Xenobiotics | 2010 |
Attenuation of intestinal absorption by major efflux transporters: quantitative tools and strategies using a Caco-2 model.
Topics: Adenosine; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily G, Member 2; ATP-Binding Cassette Sub-Family B Member 4; ATP-Binding Cassette Transporters; Biological Transport; Caco-2 Cells; Chromatography, Liquid; Dibenzocycloheptenes; Diketopiperazines; Drug Discovery; Heterocyclic Compounds, 4 or More Rings; Humans; Intestinal Absorption; Mass Spectrometry; Models, Biological; Neoplasm Proteins; Pharmaceutical Preparations; Predictive Value of Tests; Propionates; Quinolines; Substrate Specificity | 2011 |
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 |
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |
In vivo quantitative high-throughput screening for drug discovery and comparative toxicology.
Topics: Animals; Caenorhabditis elegans; Drug Discovery; High-Throughput Screening Assays; Humans; Proteomics; Small Molecule Libraries | 2023 |