chlorpromazine has been researched along with labetalol in 26 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 2 (7.69) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 9 (34.62) | 29.6817 |
2010's | 14 (53.85) | 24.3611 |
2020's | 1 (3.85) | 2.80 |
Authors | Studies |
---|---|
Strassburg, CP; Tukey, RH | 1 |
Topliss, JG; Yoshida, F | 1 |
Faller, B; Wohnsland, F | 1 |
Alvarez-Pedraglio, A; Colmenarejo, G; Lavandera, JL | 1 |
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY | 1 |
Lombardo, F; Obach, RS; Waters, NJ | 1 |
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV | 1 |
Du-Cuny, L; Mash, EA; Meuillet, EJ; Moses, S; Powis, G; Song, Z; Zhang, S | 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 |
García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 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 |
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 |
Caradonna, NP; Hallifax, D; Houston, JB; Turlizzi, E; Zanelli, U | 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 |
Jones, LH; Nadanaciva, S; Rana, P; Will, Y | 1 |
Hashimoto, T; Kaguchi, Y; Kimura, M; Kuriyama, S; Miyahara, T; Nakamura, K; Tamai, K; Tamura, H | 1 |
Ayuso Gatell, A; Martínez Ferrer, JR; Pujol Colomer, J; Trenchs Verdaguer, X | 1 |
Badaoui, M; Dickson, CJ; Hornak, V; Kells, A; Molteni, C; Rosta, E | 1 |
Dingle, LMK; Edkins, AL; Veale, CGL; Weyers, C; Wilhelmi, BS | 1 |
2 review(s) available for chlorpromazine and labetalol
Article | Year |
---|---|
Human UDP-glucuronosyltransferases: metabolism, expression, and disease.
Topics: Autoimmunity; Chromosome Mapping; Glucuronides; Glucuronosyltransferase; Humans; Hyperbilirubinemia; Neoplasms; Steroids; Terminology as Topic | 2000 |
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 |
24 other study(ies) available for chlorpromazine and labetalol
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 |
High-throughput permeability pH profile and high-throughput alkane/water log P with artificial membranes.
Topics: Alkanes; Humans; Hydrogen-Ion Concentration; Intestinal Absorption; Membranes, Artificial; Octanols; Permeability; Pharmaceutical Preparations; Solubility; Water | 2001 |
Cheminformatic models to predict binding affinities to human serum albumin.
Topics: Adrenergic beta-Antagonists; Antidepressive Agents, Tricyclic; Chromatography, Affinity; Cyclooxygenase Inhibitors; Databases, Factual; Humans; Hydrophobic and Hydrophilic Interactions; Penicillins; Pharmaceutical Preparations; Protein Binding; Quantitative Structure-Activity Relationship; Reproducibility of Results; Serum Albumin; Steroids | 2001 |
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.
Topics: Algorithms; Blood Proteins; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding; Statistics as Topic; Tissue Distribution | 2004 |
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding | 2008 |
Physicochemical determinants of human renal clearance.
Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight | 2009 |
Computational modeling of novel inhibitors targeting the Akt pleckstrin homology domain.
Topics: Antineoplastic Agents; Blood Proteins; Caco-2 Cells; Cell Membrane Permeability; Computer Simulation; Drug Discovery; Drug Screening Assays, Antitumor; Humans; Models, Molecular; Phosphoproteins; Protein Binding; Protein Kinase Inhibitors; Protein Structure, Tertiary; Proto-Oncogene Proteins c-akt; Quantitative Structure-Activity Relationship | 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 |
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 |
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 |
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 |
Comparison of cryopreserved HepaRG cells with cryopreserved human hepatocytes for prediction of clearance for 26 drugs.
Topics: Cell Line, Tumor; Cryopreservation; Female; Hepatocytes; Humans; Male; Metabolic Clearance Rate; Pharmaceutical Preparations; Predictive Value of Tests | 2012 |
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 |
Development of a cell viability assay to assess drug metabolite structure-toxicity relationships.
Topics: Adenosine Triphosphate; Benzbromarone; Cell Line; Cell Survival; Chromans; Cytochrome P-450 CYP2C9; Cytochrome P-450 CYP2D6; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme System; Humans; Pharmaceutical Preparations; Thiazolidinediones; Troglitazone | 2016 |
The effects of vasoactive agents on the proliferation of vascular smooth muscle cells grown in vitro.
Topics: Amiloride; Animals; Captopril; Cell Division; Cells, Cultured; Chlorpromazine; In Vitro Techniques; Labetalol; Muscle, Smooth, Vascular; Niacinamide; Nicorandil; Nifedipine; Norepinephrine; Propranolol; Quinazolines; Rats; Sulfonamides | 1988 |
[Arterial hypertension secondary to Guillain-Barré syndrome. Treatment with a labetalol and chlorpromazine combination. Apropos of a case].
Topics: Aged; Chlorpromazine; Drug Therapy, Combination; Female; Humans; Hypertension; Labetalol; Nitroprusside; Polyradiculoneuropathy; Propranolol | 1988 |
Calculating Kinetic Rates and Membrane Permeability from Biased Simulations.
Topics: Cell Membrane Permeability; Chlorpromazine; Desipramine; Domperidone; Kinetics; Labetalol; Lipid Bilayers; Loperamide; Molecular Dynamics Simulation; Molecular Structure; Propranolol; Thermodynamics; Verapamil | 2018 |
Use of a non-hepatic cell line highlights limitations associated with cell-based assessment of metabolically induced toxicity.
Topics: Activation, Metabolic; Cell Proliferation; Cell Survival; Chlorpromazine; Cytochrome P-450 CYP3A; Epithelial Cells; HEK293 Cells; Humans; Labetalol; Propranolol; Risk Assessment; Rosiglitazone; Substrate Specificity; Toxicity Tests | 2020 |