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  • 标题:The predicted models of anti-colon cancer and anti-hepatoma activities of substituted 4-anilino coumarin derivatives using quantitative structure-activity relationship (QSAR)
  • 本地全文:下载
  • 作者:Daratu Eviana Kusuma Putri ; Harno Dwi Pranowo ; Anugrah Ricky Wijaya
  • 期刊名称:Journal of King Saud University - Science
  • 印刷版ISSN:1018-3647
  • 出版年度:2022
  • 卷号:34
  • 期号:3
  • 页码:1-9
  • DOI:10.1016/j.jksus.2022.101837
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractObjectivesThe objective of this work was to predict anti-colon and anti-hepatoma cancer activity of newly designed substituted 4-anilino coumarin derivatives using quantitative structure–activity relationship (QSAR).MethodsThe optimization of the derivatives including molecular and electronic properties data to generate the QSAR were resulted from H-GGA DFT/BPV86 method calculation combined with Hartree-Fock 6-31G basis set. The QSAR models were delivered in multiple linear regression (MLR) and the drug design was accomplished by considering the descriptors constructing the best QSAR models for each biological activity.ResultsThis research accomplished two best validated QSAR models for predicting anti-colon cancer and anti-hepatoma activities of substituted 4-anilino coumarin derivatives. There were 17 of newly designed substituted 4-anilino coumarin derivatives which their anticancer activity (Log IC50) were predicted using our both QSAR models. The QSAR predictions inform that the compound 25 and compound 19 have the best predicted anti-colon cancer and anti-hepatoma activities, respectively.ConclusionThe results revealed that this approach can be used to assist in the action of anticancer drug discovery. Moreover, the retrosynthesis analysis of both compounds are also explained in a logic reverse of organic synthetic steps through Knoevenagel and Perkin reactions.
  • 关键词:KeywordsenCoumarinAnti-cancerQSARMLR
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