Page last updated: 2024-08-23

amonafide and nintedanib

amonafide has been researched along with nintedanib in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's3 (75.00)24.3611
2020's1 (25.00)2.80

Authors

AuthorsStudies
Chen, Z; Ding, J; Han, K; Peng, T; Tan, S; Tong, L; Wang, X; Xie, H; Xu, Y; Zhou, W1
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

4 other study(ies) available for amonafide and nintedanib

ArticleYear
Naphthalimides exhibit in vitro antiproliferative and antiangiogenic activities by inhibiting both topoisomerase II (topo II) and receptor tyrosine kinases (RTKs).
    European journal of medicinal chemistry, 2013, Volume: 65

    Topics: Angiogenesis Inhibitors; Antineoplastic Agents; Cell Movement; Cell Proliferation; DNA Topoisomerases, Type II; Dose-Response Relationship, Drug; Drug Screening Assays, Antitumor; HL-60 Cells; Humans; Molecular Structure; Naphthalimides; Protein Kinase Inhibitors; Receptor Protein-Tyrosine Kinases; Structure-Activity Relationship; Topoisomerase II Inhibitors; Tumor Cells, Cultured

2013
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