astemizole has been researched along with emetine in 8 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 2 (25.00) | 29.6817 |
2010's | 4 (50.00) | 24.3611 |
2020's | 2 (25.00) | 2.80 |
Authors | Studies |
---|---|
Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P | 1 |
Adrián, F; Anderson, P; Brinker, A; Caldwell, JS; Chatterjee, A; Gray, NS; Henson, K; Janes, J; Kato, N; Kuhen, K; Matzen, JT; McNamara, C; Nagle, A; Nam, TG; Plouffe, D; Schultz, PG; Trager, R; Winzeler, EA; Yan, SF; Zhou, Y | 1 |
Barnes, SW; Bonamy, GM; Bopp, SE; Borboa, R; Bright, AT; Chatterjee, A; Che, J; Cohen, S; Dharia, NV; Diagana, TT; Fidock, DA; Froissard, P; Gagaring, K; Gettayacamin, M; Glynne, RJ; Gordon, P; Groessl, T; Kato, N; Kuhen, KL; Lee, MC; Mazier, D; McNamara, CW; Meister, S; Nagle, A; Nam, TG; Plouffe, DM; Richmond, W; Roland, J; Rottmann, M; Sattabongkot, J; Schultz, PG; Tuntland, T; Walker, JR; Winzeler, EA; Wu, T; Zhou, B; Zhou, Y | 1 |
Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 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 |
Easwaran, M; Manickam, M; Pillaiyar, T; Wendt, LL | 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 astemizole and emetine
Article | Year |
---|---|
The recent outbreaks of human coronaviruses: A medicinal chemistry perspective.
Topics: Antiviral Agents; Chemistry, Pharmaceutical; COVID-19; Disease Outbreaks; Drug Repositioning; Humans; Virus Internalization | 2021 |
7 other study(ies) available for astemizole and emetine
Article | Year |
---|---|
Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
Topics: Blood-Brain Barrier; Lipid Bilayers; Micelles; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship; Surface Properties | 2004 |
In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen.
Topics: Animals; Antimalarials; Cluster Analysis; Computational Biology; Drug Evaluation, Preclinical; Drug Resistance; Folic Acid Antagonists; Malaria; Models, Molecular; Parasites; Plasmodium falciparum; Reproducibility of Results; Structure-Activity Relationship; Tetrahydrofolate Dehydrogenase | 2008 |
Imaging of Plasmodium liver stages to drive next-generation antimalarial drug discovery.
Topics: Animals; Antimalarials; Cell Line, Tumor; Drug Discovery; Drug Evaluation, Preclinical; Drug Resistance; Erythrocytes; Humans; Imidazoles; Liver; Malaria; Mice; Mice, Inbred BALB C; Molecular Structure; Piperazines; Plasmodium; Plasmodium berghei; Plasmodium falciparum; Plasmodium yoelii; Polymorphism, Single Nucleotide; Protozoan Proteins; Random Allocation; Small Molecule Libraries; Sporozoites | 2011 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
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 |