sulfasalazine has been researched along with foscarnet in 11 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 1 (9.09) | 18.2507 |
2000's | 5 (45.45) | 29.6817 |
2010's | 5 (45.45) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Ghuloum, AM; Jain, AN; Sage, CR | 1 |
Danelian, E; Hämäläinen, MD; Hansson, A; Karlén, A; Karlsson, R; Lennernäs, H; Löfâs, S; Winiwarter, S | 1 |
Ertl, P; Rohde, B; Selzer, P | 1 |
Artursson, P; Luthman, K; Norinder, U; Stenberg, P | 1 |
Artursson, P; Bergström, CA; Matsson, P; Nagahara, N; Norinder, U; Tavelin, S | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Campillo, NE; Guerra, A; Páez, JA | 1 |
Chang, G; El-Kattan, A; Miller, HR; Obach, RS; Rotter, C; Steyn, SJ; Troutman, MD; Varma, MV | 1 |
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
Ekins, S; Williams, AJ; Xu, JJ | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for sulfasalazine and foscarnet
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 |
10 other study(ies) available for sulfasalazine and foscarnet
Article | Year |
---|---|
Molecular hashkeys: a novel method for molecular characterization and its application for predicting important pharmaceutical properties of molecules.
Topics: Drug Design; Intestinal Absorption; Models, Molecular; Pharmaceutical Preparations; Structure-Activity Relationship | 1999 |
SPR biosensor studies of the direct interaction between 27 drugs and a liposome surface: correlation with fraction absorbed in humans.
Topics: Humans; Intestinal Absorption; Liposomes; Pharmaceutical Preparations; Pharmacokinetics; Predictive Value of Tests; Surface Plasmon Resonance | 2000 |
Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.
Topics: Biological Availability; Biological Transport; Models, Molecular; Molecular Structure; Pharmaceutical Preparations; Reproducibility of Results | 2000 |
Experimental and computational screening models for the prediction of intestinal drug absorption.
Topics: Biological Transport; Carbon Radioisotopes; Cell Line; Cell Membrane; Cell Membrane Permeability; Ciprofloxacin; Computational Biology; Drug Design; Foscarnet; Humans; Hydrogen Bonding; Intestinal Absorption; Intestinal Mucosa; Lactulose; Mannitol; Models, Biological; Raffinose; Surface Properties; Tritium; Verapamil | 2001 |
Exploring the role of different drug transport routes in permeability screening.
Topics: Administration, Oral; Biological Transport; Caco-2 Cells; Cell Line; Humans; Intestinal Absorption; Intestinal Mucosa; Intestine, Small; Membranes, Artificial; Models, Biological; Molecular Conformation; Monte Carlo Method; Permeability; Pharmaceutical Preparations; Pharmacokinetics | 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 |
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 |
Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination.
Topics: Administration, Oral; Biological Availability; Humans; Intestinal Absorption; Pharmaceutical Preparations | 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 |