procaine has been researched along with emetine in 5 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 1 (20.00) | 18.7374 |
1990's | 1 (20.00) | 18.2507 |
2000's | 1 (20.00) | 29.6817 |
2010's | 2 (40.00) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Hansch, C; Khwaja, TA; Selassie, CD | 1 |
González-Díaz, H; Orallo, F; Quezada, E; Santana, L; Uriarte, E; Viña, D; Yáñez, M | 1 |
García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Benjamin, S; Shukla, RC; Tandon, GS | 1 |
1 trial(s) available for procaine and emetine
Article | Year |
---|---|
Effect of bradykinin and its antagonists on superficial and deep pain in human subjects and dogs.
Topics: Acetylcholine; Animals; Arachnida; Aspirin; Blister; Bradykinin; Clinical Trials as Topic; Codeine; Dogs; Drug Synergism; Emetine; Histamine; Humans; Hydrochloric Acid; Insect Bites and Stings; Leprosy; Morphine; Procaine; Serotonin; Tachyphylaxis | 1966 |
4 other study(ies) available for procaine and emetine
Article | Year |
---|---|
Structure-activity relationships of antineoplastic agents in multidrug resistance.
Topics: Animals; Antineoplastic Agents; Cell Line; Cell Survival; Cricetinae; Dactinomycin; Drug Resistance; Leukemia L1210; Mice; Regression Analysis; Structure-Activity Relationship; Tumor Cells, Cultured | 1990 |
Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.
Topics: Computational Biology; Drug Design; Humans; Isoenzymes; Molecular Structure; Monoamine Oxidase; Monoamine Oxidase Inhibitors; Quantitative Structure-Activity Relationship | 2008 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |