promazine has been researched along with buspirone in 7 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 1 (14.29) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 3 (42.86) | 29.6817 |
2010's | 3 (42.86) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Creveling, CR; Daly, JW; Lewandowski, GA; McNeal, ET | 1 |
Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P | 1 |
Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM | 1 |
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Bellman, K; Knegtel, RM; Settimo, L | 1 |
Gul, T; Kostiainen, R; Kotiaho, T; Permentier, H; Ruokolainen, M; Sikanen, T | 1 |
7 other study(ies) available for promazine and buspirone
Article | Year |
---|---|
[3H]Batrachotoxinin A 20 alpha-benzoate binding to voltage-sensitive sodium channels: a rapid and quantitative assay for local anesthetic activity in a variety of drugs.
Topics: Adrenergic alpha-Antagonists; Adrenergic beta-Antagonists; Anesthetics, Local; Animals; Batrachotoxins; Calcium Channel Blockers; Cyclic AMP; Guinea Pigs; Histamine H1 Antagonists; In Vitro Techniques; Ion Channels; Neurotoxins; Sodium; Tranquilizing Agents; Tritium | 1985 |
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 |
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship | 2008 |
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 |
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 |
Comparison of TiO2 photocatalysis, electrochemically assisted Fenton reaction and direct electrochemistry for simulation of phase I metabolism reactions of drugs.
Topics: Buspirone; Catalysis; Coumarins; Dealkylation; Electrochemistry; Humans; Hydrogenation; Hydroxylation; Iron; Microsomes, Liver; Oxidation-Reduction; Promazine; Testosterone; Titanium; Ultraviolet Rays | 2016 |