thioridazine has been researched along with maprotiline in 12 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 1 (8.33) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 7 (58.33) | 29.6817 |
2010's | 4 (33.33) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 1 |
Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J | 1 |
Artursson, P; Bergström, CA; Hoogstraate, J; Matsson, P; Norinder, U; Pedersen, JM | 1 |
Ahman, M; Holmén, AG; Wan, H | 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 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
Baumann, P; Cuendet, C; Eap, CB | 1 |
1 review(s) available for thioridazine and maprotiline
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 |
11 other study(ies) available for thioridazine and maprotiline
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 |
Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
Topics: Blood-Brain Barrier; Lipid Bilayers; Micelles; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship; Surface Properties | 2004 |
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 |
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 |
Prediction and identification of drug interactions with the human ATP-binding cassette transporter multidrug-resistance associated protein 2 (MRP2; ABCC2).
Topics: Administration, Oral; Animals; Antineoplastic Agents; Antipsychotic Agents; Antiviral Agents; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 1; ATP Binding Cassette Transporter, Subfamily G, Member 2; ATP-Binding Cassette Transporters; Biological Transport; Cell Line; Computer Simulation; Cytochrome P-450 Enzyme System; Drug-Related Side Effects and Adverse Reactions; Estradiol; Humans; Insecta; Liver; Models, Molecular; Multidrug Resistance-Associated Protein 2; Multidrug Resistance-Associated Proteins; Neoplasm Proteins; Pharmaceutical Preparations; Pharmacology; Structure-Activity Relationship | 2008 |
Relationship between brain tissue partitioning and microemulsion retention factors of CNS drugs.
Topics: Brain; Central Nervous System; Chromatography, Liquid; Emulsions; Mass Spectrometry | 2009 |
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 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
Topics: Artificial Intelligence; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Computational Biology; Computer Simulation; Drugs, Investigational; Ether-A-Go-Go Potassium Channels; Expert Systems; Heart Rate; Humans; Models, Biological; Myocytes, Cardiac; NAV1.5 Voltage-Gated Sodium Channel; Potassium Channel Blockers; Quantitative Structure-Activity Relationship; Risk Assessment; Shaker Superfamily of Potassium Channels; Torsades de Pointes; Voltage-Gated Sodium Channel Blockers | 2012 |
Selectivity in the binding of psychotropic drugs to the variants of alpha-1 acid glycoprotein.
Topics: Amitriptyline; Clomipramine; Desipramine; Hydrogen-Ion Concentration; Imipramine; Maprotiline; Methadone; Orosomucoid; Psychotropic Drugs; Thioridazine; Trimipramine | 1988 |