Investigation of the Anticancer Potential of 2-alkoxycarbonylallyl Esters Against Metastatic Murine Breast Cancer Line 4T1 Targeting the EGFR: A Combined Molecular Docking, QSAR, and Machine Learning Approach Article (Web of Science)

International Collaboration

cited authors

  • Obadawo, Babatunde Samuel; Oyeneyin, Oluwatoba Emmanuel; Owolabi, Taoreed Olakunle; Metibemu, Damilohun Samuel; Ipinloju, Nureni; Fagbohungbe, Kehinde Henry; Modamori, Helen Omonipo; Olatoye, Victor Olanrewaju

publication date

  • January 1, 2022

webpage

published in

category

keywords

  • 2-alkoxyecarbonyl esters
  • computer-aided drug design
  • epidermal growth factor receptor
  • genetic function approximation
  • machine learning
  • random forest regression

start page

  • 1068

end page

  • 1085

volume

  • 19

issue

  • 12