Compounds > dan 2163

dan 2163 and daidzein

dan 2163 has been researched along with daidzein 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's2 (50.00)24.3611
2020's2 (50.00)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
Ding, H; Dong, H; Hou, Z; Luo, C; Min, W; Qi, L; Wang, L; Xie, S; Yang, P; Yuan, K; Zhang, F1
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 dan 2163 and daidzein

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
Computational discovery and biological evaluation of novel inhibitors targeting histone-lysine N-methyltransferase SET7.
    Bioorganic & medicinal chemistry, 2020, 04-01, Volume: 28, Issue:7

    Topics: Antineoplastic Agents; Catalytic Domain; Cell Line, Tumor; Cell Survival; Computational Chemistry; Computer Simulation; Drug Discovery; Escherichia coli; Histone-Lysine N-Methyltransferase; Humans; Molecular Structure; Protein Binding; Protein Conformation; Structure-Activity Relationship

2020
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