Prediction of ligand-receptor binding thermodynamics by free energy force field three-dimensional quantitative structure-activity relationship analysis: applications to a set of glucose analogue inhibitors of glycogen phosphorylase
- PMID: 10377222
- DOI: 10.1021/jm980515p
Prediction of ligand-receptor binding thermodynamics by free energy force field three-dimensional quantitative structure-activity relationship analysis: applications to a set of glucose analogue inhibitors of glycogen phosphorylase
Abstract
Glucose analogue inhibitors of glycogen phosphorylase, GP, may be of clinical interest in the regulation of glycogen metabolism in diabetes. The receptor geometry of glycogen phosphorylase b, GPb, is available for structure-based design and also for the evaluation of the thermodynamics of ligand-receptor binding. Free energy force field (FEFF) 3D-QSAR analysis was used to construct ligand-receptor binding models. FEFF terms involved in binding are represented by a modified first-generation AMBER force field combined with a hydration shell solvation model. The FEFF terms are then treated as independent variables in the development of 3D-QSAR models by correlating these energy terms with experimental binding energies for a training set of inhibitors. The genetic function approximation, employing both multiple linear regression and partial least squares regression data fitting, was used to develop the FEFF 3D-QSAR models for the binding process and to scale the free energy force field for this particular ligand-receptor system. The significant FEFF energy terms in the resulting 3D-QSAR models include the intramolecular vacuum energy of the unbound ligand, the intermolecular ligand-receptor van der Waals interaction energy, and the van der Waals energy of the bound ligand. Other terms, such as the change in the stretching energy of the receptor on binding, change in the solvation energy of the system on binding, and the change in the solvation energy of the ligand on binding are also found in the set of significant FEFF 3D-QSAR models. Overall, the binding of this class of ligands to GPb is largely characterized by how well the ligand can sterically fit into the active site of the enzyme. The FEFF 3D-QSAR models can be used to estimate the binding free energy of any new analogue in substituted glucose series prior to synthesis and testing.
Similar articles
-
Quantitative structure-based design: formalism and application of receptor-dependent RD-4D-QSAR analysis to a set of glucose analogue inhibitors of glycogen phosphorylase.J Chem Inf Comput Sci. 2003 Sep-Oct;43(5):1591-607. doi: 10.1021/ci0340714. J Chem Inf Comput Sci. 2003. PMID: 14502494
-
Glucose analogue inhibitors of glycogen phosphorylase: from crystallographic analysis to drug prediction using GRID force-field and GOLPE variable selection.Acta Crystallogr D Biol Crystallogr. 1995 Jul 1;51(Pt 4):458-72. doi: 10.1107/S090744499401348X. Acta Crystallogr D Biol Crystallogr. 1995. PMID: 15299833
-
Prediction of ligand-receptor binding thermodynamics by free energy force field (FEFF) 3D-QSAR analysis: application to a set of peptidometic renin inhibitors.J Chem Inf Comput Sci. 1997 Jul-Aug;37(4):792-811. doi: 10.1021/ci970006g. J Chem Inf Comput Sci. 1997. PMID: 9254912
-
Approaches to the description and prediction of the binding affinity of small-molecule ligands to macromolecular receptors.Angew Chem Int Ed Engl. 2002 Aug 2;41(15):2644-76. doi: 10.1002/1521-3773(20020802)41:15<2644::AID-ANIE2644>3.0.CO;2-O. Angew Chem Int Ed Engl. 2002. PMID: 12203463 Review.
-
Dissecting the free energy of drug binding to DNA.Anticancer Drug Des. 1996 Dec;11(8):569-80. Anticancer Drug Des. 1996. PMID: 9022746 Review.
Cited by
-
Very empirical treatment of solvation and entropy: a force field derived from log Po/w.J Comput Aided Mol Des. 2001 Apr;15(4):381-93. doi: 10.1023/a:1011136228678. J Comput Aided Mol Des. 2001. PMID: 11349819
-
A new structure-based QSAR method affords both descriptive and predictive models for phosphodiesterase-4 inhibitors.Curr Chem Genomics. 2008 Nov 6;2:29-39. doi: 10.2174/1875397300802010029. Curr Chem Genomics. 2008. PMID: 20161841 Free PMC article.
-
Extrapolative prediction using physically-based QSAR.J Comput Aided Mol Des. 2016 Feb;30(2):127-52. doi: 10.1007/s10822-016-9896-1. Epub 2016 Feb 10. J Comput Aided Mol Des. 2016. PMID: 26860112 Free PMC article.
-
A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.J Med Chem. 2005 Aug 25;48(17):5437-47. doi: 10.1021/jm049050v. J Med Chem. 2005. PMID: 16107143 Free PMC article.
-
Docking flexible ligands in proteins with a solvent exposure- and distance-dependent dielectric function.J Comput Aided Mol Des. 2010 Feb;24(2):91-105. doi: 10.1007/s10822-009-9317-9. Epub 2010 Jan 30. J Comput Aided Mol Des. 2010. PMID: 20119653
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources