amiodarone has been researched along with pimozide in 19 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 9 (47.37) | 29.6817 |
2010's | 10 (52.63) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 1 |
Keserü, GM | 1 |
Nagashima, R; Nishikawa, T; Tobita, M | 1 |
Li, Y; Li, YH; Wang, YH; Yang, L; Yang, SL | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Andricopulo, AD; Moda, TL; Montanari, CA | 1 |
Cai, W; Hao, Y; Hu, P; Ma, D; Pan, H; Xie, X; Yu, AD; Yu, J; Yuan, J; Zhang, L; Zhu, H | 1 |
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J | 1 |
Jia, L; Sun, H | 1 |
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
Ekins, S; Williams, AJ; Xu, JJ | 1 |
Sen, S; Sinha, N | 1 |
Cooper, J; Cui, Y; Fink, M; Gavaghan, DJ; Heath, BM; McMahon, NC; Mirams, GR; Noble, D; Sher, A | 1 |
Freiwald, S; Jiang, Y; Jones, JP; Kaspera, R; Katayama, J; Lee, CA; Smith, E; Totah, RA; Walker, GS | 1 |
Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
Brown, AM; Bruening-Wright, A; Kramer, J; Kuryshev, YA; Myatt, G; Obejero-Paz, CA; Verducci, JS | 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 amiodarone and pimozide
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 |
18 other study(ies) available for amiodarone and pimozide
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 |
Prediction of hERG potassium channel affinity by traditional and hologram qSAR methods.
Topics: Cation Transport Proteins; Databases, Factual; Discriminant Analysis; Ether-A-Go-Go Potassium Channels; Holography; Linear Models; Potassium Channel Blockers; Potassium Channels; Potassium Channels, Voltage-Gated; Quantitative Structure-Activity Relationship | 2003 |
A discriminant model constructed by the support vector machine method for HERG potassium channel inhibitors.
Topics: Animals; CHO Cells; Cricetinae; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Potassium Channel Blockers; Potassium Channels, Voltage-Gated | 2005 |
Modeling K(m) values using electrotopological state: substrates for cytochrome P450 3A4-mediated metabolism.
Topics: Computational Biology; Cyclohexanols; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme System; Molecular Structure; Principal Component Analysis; Pyrrolizidine Alkaloids; Quantitative Structure-Activity Relationship; Reproducibility of Results; Substrate Specificity; Venlafaxine Hydrochloride | 2005 |
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 |
Hologram QSAR model for the prediction of human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Holography; Humans; Models, Biological; Models, Molecular; Molecular Structure; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship | 2007 |
Small molecule regulators of autophagy identified by an image-based high-throughput screen.
Topics: Autophagy; Calcium Channel Blockers; Cell Line, Tumor; Drug Evaluation, Preclinical; Fluspirilene; Glioblastoma; Green Fluorescent Proteins; Humans; Intracellular Membranes; Loperamide; Microtubule-Associated Proteins; Mycotoxins; Peptides; Phagosomes; Phosphatidylinositol Phosphates; Pimozide; Protein Kinases; Recombinant Fusion Proteins; Sirolimus; Small Molecule Libraries; TOR Serine-Threonine Kinases; Trifluoperazine; Zinc Fingers | 2007 |
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model.
Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase | 2008 |
Support vector machines classification of hERG liabilities based on atom types.
Topics: Animals; Arrhythmias, Cardiac; CHO Cells; Computer Simulation; Cricetinae; Cricetulus; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Models, Chemical; Patch-Clamp Techniques; Potassium Channel Blockers; Potassium Channels, Voltage-Gated; Predictive Value of Tests; ROC Curve | 2008 |
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 |
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 |
Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSAR model.
Topics: Computer Simulation; Ether-A-Go-Go Potassium Channels; Humans; Molecular Structure; Organic Chemicals; Quantitative Structure-Activity Relationship | 2011 |
Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.
Topics: Action Potentials; Animals; Calcium Channel Blockers; Calcium Channels, L-Type; Computer Simulation; Dogs; Dose-Response Relationship, Drug; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Guinea Pigs; HEK293 Cells; Humans; Ion Channels; Kinetics; Models, Cardiovascular; NAV1.5 Voltage-Gated Sodium Channel; Patch-Clamp Techniques; Potassium Channel Blockers; Rabbits; Risk Assessment; Risk Factors; Sodium Channel Blockers; Sodium Channels; Torsades de Pointes; Transfection | 2011 |
Identifying a selective substrate and inhibitor pair for the evaluation of CYP2J2 activity.
Topics: Amiodarone; Astemizole; Chromatography, High Pressure Liquid; Cytochrome P-450 CYP2J2; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Danazol; Drug Discovery; Drug Interactions; Enzyme Inhibitors; Humans; Hydroxylation; In Vitro Techniques; Methylation; Microsomes, Liver; Models, Biological; Molecular Structure; Substrate Specificity; Tandem Mass Spectrometry; Terfenadine | 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 |
MICE models: superior to the HERG model in predicting Torsade de Pointes.
Topics: ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Models, Theoretical; Patch-Clamp Techniques; Predictive Value of Tests; Torsades de Pointes | 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 |