Page last updated: 2024-09-03

norketamine and regorafenib

norketamine has been researched along with regorafenib in 3 studies

Compound Research Comparison

Studies
(norketamine)
Trials
(norketamine)
Recent Studies (post-2010)
(norketamine)
Studies
(regorafenib)
Trials
(regorafenib)
Recent Studies (post-2010) (regorafenib)
22032122884122857

Protein Interaction Comparison

ProteinTaxonomynorketamine (IC50)regorafenib (IC50)
RAF proto-oncogene serine/threonine-protein kinaseHomo sapiens (human)0.002
Proto-oncogene tyrosine-protein kinase receptor RetHomo sapiens (human)0.0015
Platelet-derived growth factor receptor betaHomo sapiens (human)0.0015
Mast/stem cell growth factor receptor KitHomo sapiens (human)0.5043
Fibroblast growth factor receptor 1Homo sapiens (human)0.1018
Serine/threonine-protein kinase B-rafHomo sapiens (human)0.0226
Vascular endothelial growth factor receptor 1 Homo sapiens (human)0.0092
Bifunctional epoxide hydrolase 2Homo sapiens (human)0.0005
Vascular endothelial growth factor receptor 3Homo sapiens (human)0.046
Vascular endothelial growth factor receptor 3Mus musculus (house mouse)0.0015
Vascular endothelial growth factor receptor 2Mus musculus (house mouse)0.0015
Vascular endothelial growth factor receptor 2Homo sapiens (human)0.0043
Receptor-type tyrosine-protein kinase FLT3Homo sapiens (human)0.082
Angiopoietin-1 receptorHomo sapiens (human)0.1562
Broad substrate specificity ATP-binding cassette transporter ABCG2Homo sapiens (human)3

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
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
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 norketamine and regorafenib

ArticleYear
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