1-(2-naphthalenyl)-3-[(phenylmethyl)-propan-2-ylamino]-1-propanone and nsc 95397

1-(2-naphthalenyl)-3-[(phenylmethyl)-propan-2-ylamino]-1-propanone has been researched along with nsc 95397 in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (25.00)29.6817
2010's2 (50.00)24.3611
2020's1 (25.00)2.80

Authors

AuthorsStudies
Burke, JR; Daniel, KR; Greenberg, CS; Lai, TS; Liu, Y; Sane, DC; Strittmatter, WJ; Toone, E; Tucker, T1
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 1-(2-naphthalenyl)-3-[(phenylmethyl)-propan-2-ylamino]-1-propanone and nsc 95397

ArticleYear
Identification of chemical inhibitors to human tissue transglutaminase by screening existing drug libraries.
    Chemistry & biology, 2008, Sep-22, Volume: 15, Issue:9

    Topics: Animals; Calcium; Combinatorial Chemistry Techniques; Disease Models, Animal; Drosophila melanogaster; Drug Evaluation, Preclinical; Enzyme Inhibitors; Factor XIIIa; GTP-Binding Proteins; Guanosine Triphosphate; Humans; Machado-Joseph Disease; Molecular Structure; Naphthoquinones; Octoxynol; Protein Glutamine gamma Glutamyltransferase 2; Transglutaminases; Tyrphostins

2008
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