Correlation Engine 2.0
Clear Search sequence regions


  • 3d qsar (3)
  • cell membrane (1)
  • donor (1)
  • help (1)
  • hydrogen bond (1)
  • indoles (5)
  • mycobacterium bovis (2)
  • qsar (3)
  • root (2)
  • Sizes of these terms reflect their relevance to your search.

    A persistent infection prolongs treatment duration and also enhances the chance of resistance development against antibiotics. Recently, a class of amphiphilic indole derivatives was discovered exhibiting bactericidal activity against both growing and nongrowing Mycobacterium bovis BCG (M. bovis BCG). These antibacterials are suggested to disturb the integrity and functioning of the cell membrane, a property that can help eradicate persistent organisms. This study article describes field-based three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of 79 amphiphilic indole derivatives. The aim of this QSAR study is to optimize this class of compounds for the development of more potent antimycobacterial agents. The results obtained indicate that steric interactions are crucial for antimycobacterial activity, while hydrogen bond donor groups participate negligibly in activity. The derived 3D-QSAR models showed acceptable r2 (0.91) and q2 (0.91) with a root mean squared error (RMSE) of 0.08. The models were cross-validated using the leave-one-out method. Applying the same QSAR model to another congeneric series of amphiphilic indoles externally validated the QSAR model. The model could appreciably predict the activity (pMIC50 ) of this congeneric series of amphiphilic indoles, with an RMSE of 0.49, indicating the robustness of the model and its efficiency in predicting the potentially active compounds. © 2020 Wiley Periodicals LLC.

    Citation

    Aparna Bahuguna, Prasad V Bharatam, Diwan S Rawat. 3D QSAR studies on amphiphilic indoles for antimycobacterial activity. Journal of biochemical and molecular toxicology. 2021 Mar;35(3):e22675

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 33347664

    View Full Text