• Title of article

    A Search for Novel Antidiabetic Agents Using Ligand-Based Drug Design and Molecular Docking Studies Employing Human Intestinal Maltase-Glucoamylase as Model Enzyme

  • Author/Authors

    Aminu ، Khalifa Department of Chemistry - Ahmadu Bello University , Uzairu ، Adamu Department of Chemistry - Ahmadu Bello University , Abechi ، Stephen Department of Chemistry - Ahmadu Bello University , Adamu ، Gideon Department of Chemistry - Ahmadu Bello University , Umar ، Abdullahi Department of Chemistry - Ahmadu Bello University

  • From page
    155
  • To page
    171
  • Abstract
    This study employed quantitative structure-activity relationship (QSAR) to predict the inhibitory activities of N-(alkyl/aryl)-2-chloro-4-nitro-5-[(4-nitrophenyl) sulfamoyl] benzamide derivatives as potent inhibitors of C-terminal human intestinal maltase-glucoamylase (MGAM-C). Density Functional Theory with B3LYP/6-31G* as the basis set was used to optimize the chemical structures of the derivatives. Genetic function approximation generated three models, with model one having validation keys of R2int= 0.989, R2adj = 0.984, Q2cv = 0.974, and LOF = 0.0056 being selected as the best due to it highest external validation parameter of R2ext = 0.722. The ligand-based approach designed four compounds with higher activities than the lead compound. The binding interactions of the designed compounds within the active site of (MGAM-C) revealed interesting MolDock scores. This research concluded that the designed compounds from the derivatives could serve as potent inhibitors of MGAM-C, offering valuable insight into developing novel medications to treat diabetes mellitus.
  • Keywords
    Quantitative structure activity relationship , Antidiabetic agents , Molecular docking , Molegro virtual docker , Density functional theory
  • Journal title
    Advanced Journal of Chemistry-Section A: Theoretical, Engineering and Applied Chemistry
  • Journal title
    Advanced Journal of Chemistry-Section A: Theoretical, Engineering and Applied Chemistry
  • Record number

    2739370