• Title of article

    Glucopyranoside Derivatives as Antibacterial and Antifungal Agents: QSAR, Molecular Docking and ADMET Analyses

  • Author/Authors

    Arabi ، Ishmam I. Department of Natural Science - Port City International University , Hossain ، Md Ahad Lab of Carbohydrate and Nucleoside Chemistry (LCNC), Department of Chemistry - Faculty of Science - University of Chittagong , Kawsar ، Sarkar M. A. Lab of Carbohydrate and Nucleoside Chemistry (LCNC), Department of Chemistry - Faculty of Science - University of Chittagong , Joshi ، Neha College of Pharmacy - Graphic Era Hill University, Bhimtal Campus , Kalra ، Jyoti Maithani School of Pharmaceutics - Shri Guru Ram Rai University , Gairola ، Nidhi Uttaranchal Institute of Pharmaceutical Sciences - Uttaranchal University , Suyal ، Jyotsana Uttaranchal Institute of Pharmaceutical Sciences - Uttaranchal University , Semwal ، Amit College of Pharmacy, Shivalik Campus , Zainul ، Rahadian Department of Chemistry - Faculty of Mathematics and Natural Sciences - Universitas Negeri Padang , Jakhmola ، Vikash Uttaranchal Institute of Pharmaceutical Sciences - Uttaranchal University , Saha ، Supriyo Uttaranchal Institute of Pharmaceutical Sciences - Uttaranchal University

  • From page
    758
  • To page
    776
  • Abstract
    Methyl α-D-glucopyranoside (MDGP), a naturally occurring derivative of carbohydrates, is of interest to medicinal chemists because of its potential medical applications, especially as an antibacterial and antifungal agent. Gaussian 09 and density functional theory (DFT) were utilized to produce chemical descriptors for this investigation. The prediction of activity spectra for substances (PASS) has yielded preliminary data regarding the antifungal, antibacterial, antiviral, and anticancer properties of these compounds. Compared to bacterial species, fungal species scored higher on the PASS-predicted pathogens. We used web tools and an internet database to calculate the absorption, distribution, metabolism, and excretion (ADME) and toxicity of MDGP and its derivatives to assess their safe application and forecast their clinical phases as therapeutic molecules. Molecular docking was used to identify viable therapeutic options for microbial infections by first validating the biological importance of bacterial and fungal proteins. Molecular docking analysis demonstrated the encouraging binding affinity of C2 for both proteins (-6.2 kcal/mol against 5V8E and -5.9 kcal/mol against 7BLY). Ultimately, based on their structural side chain in the D-glucopyranoside sequence, these particular derivatives are found to have greater antibacterial potential than antifungal potential.
  • Keywords
    Chemical reactivity descriptor , Pass prediction , DFT calculation , ADME , Toxicity , Molecular docking , Methyl α , D , glucopyranoside
  • 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

    2759720