imipramine has been researched along with phenol in 6 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 5 (83.33) | 29.6817 |
2010's | 1 (16.67) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Strassburg, CP; Tukey, RH | 1 |
Duffy, EM; Jorgensen, WL | 1 |
Caron, G; Ermondi, G | 1 |
Carrupt, PA; Martel, S; Ottaviani, G | 1 |
Akamatsu, M; Fujikawa, M; Nakao, K; Shimizu, R | 1 |
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
1 review(s) available for imipramine and phenol
Article | Year |
---|---|
Human UDP-glucuronosyltransferases: metabolism, expression, and disease.
Topics: Autoimmunity; Chromosome Mapping; Glucuronides; Glucuronosyltransferase; Humans; Hyperbilirubinemia; Neoplasms; Steroids; Terminology as Topic | 2000 |
5 other study(ies) available for imipramine and phenol
Article | Year |
---|---|
Prediction of drug solubility from Monte Carlo simulations.
Topics: Monte Carlo Method; Pharmaceutical Preparations; Solubility | 2000 |
Calculating virtual log P in the alkane/water system (log P(N)(alk)) and its derived parameters deltalog P(N)(oct-alk) and log D(pH)(alk).
Topics: 1-Octanol; Alkanes; Hydrogen-Ion Concentration; Least-Squares Analysis; Mathematics; Models, Chemical; Models, Molecular; Solvents; Water | 2005 |
In silico and in vitro filters for the fast estimation of skin permeation and distribution of new chemical entities.
Topics: Humans; Membranes, Artificial; Models, Biological; Models, Molecular; Octanols; Permeability; Pharmaceutical Preparations; Skin Absorption; Water | 2007 |
QSAR study on permeability of hydrophobic compounds with artificial membranes.
Topics: Biological Transport; Caco-2 Cells; Drug Evaluation, Preclinical; Humans; Hydrophobic and Hydrophilic Interactions; Membranes, Artificial; Permeability; Pharmaceutical Preparations; Quantitative Structure-Activity Relationship | 2007 |
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 |