chloramphenicol has been researched along with piroxicam in 14 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 4 (28.57) | 29.6817 |
| 2010's | 10 (71.43) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Akamatsu, M; Fujikawa, M; Nakao, K; Shimizu, R | 1 |
| Andricopulo, AD; Moda, TL; Montanari, CA | 1 |
| Chen, L; He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Wang, Y; Zhang, W | 1 |
| Du-Cuny, L; Mash, EA; Meuillet, EJ; Moses, S; Powis, G; Song, Z; Zhang, S | 1 |
| Conradi, R; Lee, PH; Shanmugasundaram, V | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Campillo, NE; Guerra, A; Páez, JA | 1 |
| Avdeef, A; Tam, KY | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Akamatsu, M | 1 |
| Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Koner, AL; Mallick, S; Pal, K | 1 |
1 review(s) available for chloramphenicol and piroxicam
| 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 |
13 other study(ies) available for chloramphenicol and piroxicam
| Article | Year |
|---|---|
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 |
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 |
Prediction of volume of distribution values in human using immobilized artificial membrane partitioning coefficients, the fraction of compound ionized and plasma protein binding data.
Topics: Blood Proteins; Chemistry, Physical; Computer Simulation; Humans; Membranes, Artificial; Models, Biological; Pharmaceutical Preparations; Protein Binding; Tissue Distribution | 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 |
Development of an in silico model for human skin permeation based on a Franz cell skin permeability assay.
Topics: 1-Methyl-3-isobutylxanthine; Cell Line; Cell Membrane Permeability; Humans; Models, Biological; Quantitative Structure-Activity Relationship; Skin Absorption | 2010 |
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 |
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical | 2010 |
How well can the Caco-2/Madin-Darby canine kidney models predict effective human jejunal permeability?
Topics: Animals; Disease Models, Animal; Dogs; Humans; Jejunal Diseases; Kidney Diseases; Models, Biological; Permeability; Porosity; Regression Analysis | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
Importance of physicochemical properties for the design of new pesticides.
Topics: Anabasine; Animals; Biological Availability; Cell Membrane Permeability; Chemical Phenomena; Drug Design; Humans; Imidazoles; Insecticides; Neonicotinoids; Nitro Compounds; Pesticides; Quantitative Structure-Activity Relationship; Receptors, Nicotinic | 2011 |
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 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Complexation induced fluorescence and acid-base properties of dapoxyl dye with γ-cyclodextrin: a drug-binding application using displacement assays.
Topics: Acetaminophen; Ampicillin; Aspirin; beta-Cyclodextrins; Binding Sites; Chloramphenicol; Drug Delivery Systems; Fluorescence; Fluorescent Dyes; Fluorometry; Hydrogen-Ion Concentration; Ibuprofen; Kanamycin; Oxazines; Oxazoles; Piroxicam; Salicylates; Salicylic Acid; Sorbic Acid; Sulfonamides; Thiamphenicol; Xanthenes | 2015 |