Literature DB >> 16426059

Grand canonical Monte Carlo simulation of ligand-protein binding.

Matthew Clark1, Frank Guarnieri, Igor Shkurko, Jeff Wiseman.   

Abstract

A new application of the grand canonical thermodynamics ensemble to compute ligand-protein binding is described. The described method is sufficiently rapid that it is practical to compute ligand-protein binding free energies for a large number of poses over the entire protein surface, thus identifying multiple putative ligand binding sites. In addition, the method computes binding free energies for a large number of poses. The method is demonstrated by the simulation of two protein-ligand systems, thermolysin and T4 lysozyme, for which there is extensive thermodynamic and crystallographic data for the binding of small, rigid ligands. These low-molecular-weight ligands correspond to the molecular fragments used in computational fragment-based drug design. The simulations correctly identified the experimental binding poses and rank ordered the affinities of ligands in each of these systems.

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Year:  2006        PMID: 16426059     DOI: 10.1021/ci050268f

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  23 in total

Review 1.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

2.  Hybrid Steered Molecular Dynamics-Docking: An Efficient Solution to the Problem of Ranking Inhibitor Affinities Against a Flexible Drug Target.

Authors:  Katie L Whalen; Kevin M Chang; M Ashley Spies
Journal:  Mol Inform       Date:  2011-05-16       Impact factor: 3.353

3.  Molecular modeling and functional confirmation of a predicted fatty acid binding site of mitochondrial aspartate aminotransferase.

Authors:  Michael W Bradbury; Decherd Stump; Frank Guarnieri; Paul D Berk
Journal:  J Mol Biol       Date:  2011-07-22       Impact factor: 5.469

Review 4.  Alchemical free energy methods for drug discovery: progress and challenges.

Authors:  John D Chodera; David L Mobley; Michael R Shirts; Richard W Dixon; Kim Branson; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2011-02-23       Impact factor: 6.809

5.  Optimization and Evaluation of Site-Identification by Ligand Competitive Saturation (SILCS) as a Tool for Target-Based Ligand Optimization.

Authors:  Vincent D Ustach; Sirish Kaushik Lakkaraju; Sunhwan Jo; Wenbo Yu; Wenjuan Jiang; Alexander D MacKerell
Journal:  J Chem Inf Model       Date:  2019-05-08       Impact factor: 4.956

Review 6.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

7.  Functional interactions of alcohol-sensitive sites in the N-methyl-D-aspartate receptor M3 and M4 domains.

Authors:  Hong Ren; Abdelghaffar K Salous; Jaclyn M Paul; Kaitlin A Lamb; Donard S Dwyer; Robert W Peoples
Journal:  J Biol Chem       Date:  2008-01-21       Impact factor: 5.157

8.  Computational fragment-based binding site identification by ligand competitive saturation.

Authors:  Olgun Guvench; Alexander D MacKerell
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

9.  Binding-site assessment by virtual fragment screening.

Authors:  Niu Huang; Matthew P Jacobson
Journal:  PLoS One       Date:  2010-04-09       Impact factor: 3.240

10.  A multiscale approach to sampling nascent peptide chains in the ribosomal exit tunnel.

Authors:  V A Voelz; P Petrone; V S Pande
Journal:  Pac Symp Biocomput       Date:  2009
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