2020
DOI: 10.2174/1570163815666180913122542
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Molecular Docking, G-QSAR Studies, Synthesis and Anticancer Screening of Some New 2-Phenazinamines as Bcr-Abl Tyrosine Kinase Inhibitors

Abstract: The computational studies on 2-phenazinamines with their protein targets have been carried out to design compounds with potential anticancer activity. This strategy of designing compounds possessing selectivity over specific tyrosine kinase has been achieved through G-QSAR and molecular docking studies. The objective of this research has been to design newer 2-phenazinamine derivatives as Bcr-Abl tyrosine kinase inhibitors by G-QSAR, molecular docking studies followed by wet lab studies along with evaluation o… Show more

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Cited by 3 publications
(2 citation statements)
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“…Their in silico studies predicted better activity for the thiazolidones and benzenesulfonyl derivatives of phenazinamines than doxorubicin. However, in vitro cytotoxic activity was good, though still less than of doxorubicin (Kale and Sonwane, 2018). Molecular dynamics (MD) is a simulation technique for studying time dependent evolution of molecular system.…”
Section: Structure Based Methods In Drug Designmentioning
confidence: 99%
“…Their in silico studies predicted better activity for the thiazolidones and benzenesulfonyl derivatives of phenazinamines than doxorubicin. However, in vitro cytotoxic activity was good, though still less than of doxorubicin (Kale and Sonwane, 2018). Molecular dynamics (MD) is a simulation technique for studying time dependent evolution of molecular system.…”
Section: Structure Based Methods In Drug Designmentioning
confidence: 99%
“…This division is based on the substitution groups and the inhibition of compounds. The training set is employed to produce the QSAR model, and the test set is used to validate the quality of the developed models [24]. The statistical parameters of the developed models and internal and external validations are adopted for testing the fitness, stability, and predictive ability of the QSAR models [17].…”
Section: Validation Of the Developed G-qsar Modelmentioning
confidence: 99%