Page last updated: 2024-09-05

lapatinib and methacycline monohydrochloride

lapatinib has been researched along with methacycline monohydrochloride in 3 studies

Compound Research Comparison

Studies
(lapatinib)
Trials
(lapatinib)
Recent Studies (post-2010)
(lapatinib)
Studies
(methacycline monohydrochloride)
Trials
(methacycline monohydrochloride)
Recent Studies (post-2010) (methacycline monohydrochloride)
1,9193051,44226017

Protein Interaction Comparison

ProteinTaxonomylapatinib (IC50)methacycline monohydrochloride (IC50)
integrase, partialHuman immunodeficiency virus 15.6295
lens epithelium-derived growth factor p75Homo sapiens (human)5.6295
rac GTPase-activating protein 1 isoform aHomo sapiens (human)66.85
DNA repair protein RAD52 homologHomo sapiens (human)2.9

Research

Studies (3)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's2 (66.67)24.3611
2020's1 (33.33)2.80

Authors

AuthorsStudies
Ekins, S; Williams, AJ; Xu, JJ1
Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR1
Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR1

Other Studies

3 other study(ies) available for lapatinib and methacycline monohydrochloride

ArticleYear
A predictive ligand-based Bayesian model for human drug-induced liver injury.
    Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12

    Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands

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
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