Journal of Computer-Aided Molecular Design

, Volume 15, Issue 7, pp 613–647

Evaluation of designed ligands by a multiple screening method: Application to glycogen phosphorylase inhibitors constructed with a variety of approaches

Authors

  • Sung-Sau So
    • Department of Chemistry and Chemical BiologyHarvard University
  • Martin Karplus
    • Department of Chemistry and Chemical BiologyHarvard University
    • Laboratoire de Chimie Biophysique, Institut le BelUniversité Louis Pasteur
Article

DOI: 10.1023/A:1011945119287

Cite this article as:
So, S. & Karplus, M. J Comput Aided Mol Des (2001) 15: 613. doi:10.1023/A:1011945119287

Abstract

Glycogen phosphorylase (GP) is an important enzyme that regulates blood glucose level and a key therapeutic target for the treatment of type II diabetes. In this study, a number of potential GP inhibitors are designed with a variety of computational approaches. They include the applications of MCSS, LUDI and CoMFA to identify additional fragments that can be attached to existing lead molecules; the use of 2D and 3D similarity-based QSAR models (HQSAR and SMGNN) and of the LUDI program to identify novel molecules that may bind to the glucose binding site. The designed ligands are evaluated by a multiple screening method, which is a combination of commercial and in-house ligand-receptor binding affinity prediction programs used in a previous study (So and Karplus, J. Comp.-Aid. Mol. Des., 13 (1999), 243–258). Each method is used at an appropriate point in the screening, as determined by both the accuracy of the calculations and the computational cost. A comparison of the strengths and weaknesses of the ligand design approaches is made.

binding affinity predictionglycogen phosphorylase inhibitorLUDIMCSSQSARstructure-based drug design
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Copyright information

© Kluwer Academic Publishers 2001