• Title of article

    A modeling study of aldehyde inhibitors of human cathepsin K using partial least squares method

  • Author/Authors

    Shahlaei، M. نويسنده Department of Medicinal Chemistry and Nano Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran. , , Fassihi، A. نويسنده Department of Medicinal Chemistry and Isfahan Pharmaceutical Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, I.R. Iran. , , Saghaie، L. نويسنده , , Arkan، E. نويسنده Department of Medical Nanotechnology, School of Advanced Medical Technologies, Tehran University of Medical Sciences, Tehran, I.R.Iran. , , Pourhossein، A. نويسنده Young Researchers Club, Kermanshah branch, Islamic Azad University, Kermanshah, I.R.Iran. ,

  • Issue Information
    دوفصلنامه با شماره پیاپی 0 سال 2011
  • Pages
    10
  • From page
    71
  • To page
    80
  • Abstract
    Quantitative relationships between molecular structure of forty eight aldehyde compounds with their known Cathepsin K inhibitory effects were discovered by partial least squares (PLS) method. Evaluation of a test set of 10 compounds with the developed PLS model revealed that this model is reliable with a good predictability. Since the QSAR study was performed on the basis of theoretical descriptors calculated completely from the molecular structures, the proposed model could potentially provide useful information about the activity of the studied compounds. Various tests and criteria such as leave-one-out cross validation, leave-many-out cross validation, and also criteria suggested by Tropsha were employed to examine the predictability and robustness of the developed model.
  • Journal title
    Research in Pharmaceutical Sciences
  • Serial Year
    2011
  • Journal title
    Research in Pharmaceutical Sciences
  • Record number

    1273809