norfloxacin and cefmetazole

norfloxacin has been researched along with cefmetazole in 2 studies

Research

Studies (2)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	1 (50.00)	29.6817
2010's	1 (50.00)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL	1
Anderson, KC; Kellogg, GE; Sarkar, A	1

Other Studies

2 other study(ies) available for norfloxacin and cefmetazole

Article	Year
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling. Current drug discovery technologies, 2004, Volume: 1, Issue:4 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
Computational analysis of structure-based interactions and ligand properties can predict efflux effects on antibiotics. European journal of medicinal chemistry, 2012, Volume: 52 Topics: Anti-Bacterial Agents; beta-Lactams; Computational Biology; Drug Resistance, Bacterial; Hydrophobic and Hydrophilic Interactions; Ligands; Membrane Transport Proteins; Microbial Sensitivity Tests; Models, Molecular; Protein Binding; Protein Conformation; Quantitative Structure-Activity Relationship; Regression Analysis; Thermodynamics	2012

Article

Year

Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.

Current drug discovery technologies, 2004, Volume: 1, Issue:4

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

Computational analysis of structure-based interactions and ligand properties can predict efflux effects on antibiotics.

European journal of medicinal chemistry, 2012, Volume: 52

Topics: Anti-Bacterial Agents; beta-Lactams; Computational Biology; Drug Resistance, Bacterial; Hydrophobic and Hydrophilic Interactions; Ligands; Membrane Transport Proteins; Microbial Sensitivity Tests; Models, Molecular; Protein Binding; Protein Conformation; Quantitative Structure-Activity Relationship; Regression Analysis; Thermodynamics

2012