perphenazine has been researched along with luteolin 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 | 1 (20.00) | 29.6817 |
2010's | 3 (60.00) | 24.3611 |
2020's | 1 (20.00) | 2.80 |
Authors | Studies |
---|---|
Bellows, DS; Clarke, ID; Diamandis, P; Dirks, PB; Graham, J; Jamieson, LG; Ling, EK; Sacher, AG; Tyers, M; Ward, RJ; Wildenhain, J | 1 |
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
Aquino, TM; Araújo-Júnior, JX; da Silva-Júnior, EF; Leoncini, GO; Rodrigues, ÉES | 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 |
1 review(s) available for perphenazine and luteolin
Article | Year |
---|---|
The medicinal chemistry of Chikungunya virus.
Topics: Animals; Antiviral Agents; Biological Products; Chemistry, Pharmaceutical; Chikungunya Fever; Chikungunya virus; Dose-Response Relationship, Drug; Humans; Microbial Sensitivity Tests; Molecular Structure; Structure-Activity Relationship | 2017 |
4 other study(ies) available for perphenazine and luteolin
Article | Year |
---|---|
Chemical genetics reveals a complex functional ground state of neural stem cells.
Topics: Animals; Cell Survival; Cells, Cultured; Mice; Molecular Structure; Neoplasms; Neurons; Pharmaceutical Preparations; Sensitivity and Specificity; Stem Cells | 2007 |
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 |