tryptanthrine has been researched along with camptothecin in 5 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 0 (0.00) | 29.6817 |
2010's | 4 (80.00) | 24.3611 |
2020's | 1 (20.00) | 2.80 |
Authors | Studies |
---|---|
Jahng, Y; Kwon, Y; Liang, JL; Park, SE | 1 |
Batista-Gonzalez, A; Brunhofer, G; Fallarero, A; Gopi Mohan, C; Karlsson, D; Shinde, P; Vuorela, P | 1 |
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
5 other study(ies) available for tryptanthrine and camptothecin
Article | Year |
---|---|
Synthesis of benzo-annulated tryptanthrins and their biological properties.
Topics: Animals; Cattle; DNA; DNA Topoisomerases, Type I; DNA Topoisomerases, Type II; Dose-Response Relationship, Drug; Molecular Structure; Quinazolines; Structure-Activity Relationship; Topoisomerase I Inhibitors; Topoisomerase II Inhibitors | 2012 |
Exploration of natural compounds as sources of new bifunctional scaffolds targeting cholinesterases and beta amyloid aggregation: the case of chelerythrine.
Topics: Acetylcholinesterase; Amyloid beta-Peptides; Benzophenanthridines; Binding Sites; Butyrylcholinesterase; Catalytic Domain; Cholinesterase Inhibitors; Humans; Isoquinolines; Kinetics; Molecular Docking Simulation; Structure-Activity Relationship | 2012 |
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |