Page last updated: 2024-08-21

emetine and hydroxyzine

emetine has been researched along with hydroxyzine in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (25.00)29.6817
2010's4 (50.00)24.3611
2020's2 (25.00)2.80

Authors

AuthorsStudies
Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
García-Mera, X; González-Díaz, H; Prado-Prado, FJ1
Glen, RC; Lowe, R; Mitchell, JB1
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR1
Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR1
Easwaran, M; Manickam, M; Pillaiyar, T; Wendt, LL1
Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR1

Reviews

1 review(s) available for emetine and hydroxyzine

ArticleYear
The recent outbreaks of human coronaviruses: A medicinal chemistry perspective.
    Medicinal research reviews, 2021, Volume: 41, Issue:1

    Topics: Antiviral Agents; Chemistry, Pharmaceutical; COVID-19; Disease Outbreaks; Drug Repositioning; Humans; Virus Internalization

2021

Other Studies

7 other study(ies) available for emetine and hydroxyzine

ArticleYear
Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
    Journal of medicinal chemistry, 2004, Mar-25, Volume: 47, Issue:7

    Topics: Blood-Brain Barrier; Lipid Bilayers; Micelles; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship; Surface Properties

2004
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
    Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3

    Topics:

2008
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
    Bioorganic & medicinal chemistry, 2010, Mar-15, Volume: 18, Issue:6

    Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics

2010
Predicting phospholipidosis using machine learning.
    Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

    Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010
Highly predictive and interpretable models for PAMPA permeability.
    Bioorganic & medicinal chemistry, 2017, 02-01, Volume: 25, Issue:3

    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.
    Bioorganic & medicinal chemistry, 2019, 07-15, Volume: 27, Issue:14

    Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility

2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
    Scientific reports, 2020, 11-26, Volume: 10, Issue:1

    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