Literature DB >> 17092018

On the application of accelerated molecular dynamics to liquid water simulations.

César Augusto F de Oliveira1, Donald Hamelberg, J Andrew McCammon.   

Abstract

Our group recently proposed a robust bias potential function that can be used in an efficient all-atom accelerated molecular dynamics (MD) approach to simulate the transition of high energy barriers without any advance knowledge of the potential-energy landscape. The main idea is to modify the potential-energy surface by adding a bias, or boost, potential in regions close to the local minima, such that all transitions rates are increased. By applying the accelerated MD simulation method to liquid water, we observed that this new simulation technique accelerates the molecular motion without losing its microscopic structure and equilibrium properties. Our results showed that the application of a small boost energy on the potential-energy surface significantly reduces the statistical inefficiency of the simulation while keeping all the other calculated properties unchanged. On the other hand, although aggressive acceleration of the dynamics simulation increases the self-diffusion coefficient of water molecules greatly and dramatically reduces the correlation time of the simulation, configurations representative of the true structure of liquid water are poorly sampled. Our results also showed the strength and robustness of this simulation technique, which confirm this approach as a very useful and promising tool to extend the time scale of the all-atom simulations of biological system with explicit solvent models. However, we should keep in mind that there is a compromise between the strength of the boost applied in the simulation and the reproduction of the ensemble average properties.

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Year:  2006        PMID: 17092018      PMCID: PMC2556231          DOI: 10.1021/jp062845o

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  12 in total

1.  Entropy calculations on a reversibly folding peptide: changes in solute free energy cannot explain folding behavior.

Authors:  H Schäfer; X Daura; A E Mark; W F van Gunsteren
Journal:  Proteins       Date:  2001-04-01

Review 2.  Generalized born models of macromolecular solvation effects.

Authors:  D Bashford; D A Case
Journal:  Annu Rev Phys Chem       Date:  2000       Impact factor: 12.703

3.  Structure and dynamics of liquid water with different long-range interaction truncation and temperature control methods in molecular dynamics simulations.

Authors:  Pekka Mark; Lennart Nilsson
Journal:  J Comput Chem       Date:  2002-10       Impact factor: 3.376

4.  Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.

Authors:  Donald Hamelberg; John Mongan; J Andrew McCammon
Journal:  J Chem Phys       Date:  2004-06-22       Impact factor: 3.488

5.  A modified TIP3P water potential for simulation with Ewald summation.

Authors:  Daniel J Price; Charles L Brooks
Journal:  J Chem Phys       Date:  2004-11-22       Impact factor: 3.488

6.  Phosphorylation effects on cis/trans isomerization and the backbone conformation of serine-proline motifs: accelerated molecular dynamics analysis.

Authors:  Donald Hamelberg; Tongye Shen; J Andrew McCammon
Journal:  J Am Chem Soc       Date:  2005-02-16       Impact factor: 15.419

7.  A targeted reweighting method for accelerating the exploration of high-dimensional configuration space.

Authors:  R I Cukier; M Morillo
Journal:  J Chem Phys       Date:  2005-12-15       Impact factor: 3.488

8.  Implicit solvent models.

Authors:  B Roux; T Simonson
Journal:  Biophys Chem       Date:  1999-04-05       Impact factor: 2.352

9.  Site-directed mutagenesis probing the catalytic role of arginines 165 and 166 of human cytomegalovirus protease.

Authors:  P H Liang; K A Brun; J A Feild; K O'Donnell; M L Doyle; S M Green; A E Baker; M N Blackburn; S S Abdel-Meguid
Journal:  Biochemistry       Date:  1998-04-28       Impact factor: 3.162

Review 10.  Role of hydration and water structure in biological and colloidal interactions.

Authors:  J Israelachvili; H Wennerström
Journal:  Nature       Date:  1996-01-18       Impact factor: 49.962

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  16 in total

1.  An exact formulation of hyperdynamics simulations.

Authors:  L Y Chen; N J M Horing
Journal:  J Chem Phys       Date:  2007-06-14       Impact factor: 3.488

2.  Implementation of Accelerated Molecular Dynamics in NAMD.

Authors:  Yi Wang; Christopher B Harrison; Klaus Schulten; J Andrew McCammon
Journal:  Comput Sci Discov       Date:  2011

Review 3.  Molecular Dynamics Simulation for All.

Authors:  Scott A Hollingsworth; Ron O Dror
Journal:  Neuron       Date:  2018-09-19       Impact factor: 17.173

4.  Guide to virtual screening: application to the Akt phosphatase PHLPP.

Authors:  William Sinko; Emma Sierecki; César A F de Oliveira; J Andrew McCammon
Journal:  Methods Mol Biol       Date:  2012

5.  Effects of hypoxanthine substitution in peptide nucleic acids targeting KRAS2 oncogenic mRNA molecules: theory and experiment.

Authors:  Jeffrey M Sanders; Matthew E Wampole; Chang-Po Chen; Dalip Sethi; Amrita Singh; François-Yves Dupradeau; Fan Wang; Brian D Gray; Mathew L Thakur; Eric Wickstrom
Journal:  J Phys Chem B       Date:  2013-09-18       Impact factor: 2.991

6.  Dynamics and calcium association to the N-terminal regulatory domain of human cardiac troponin C: a multiscale computational study.

Authors:  Steffen Lindert; Peter M Kekenes-Huskey; Gary Huber; Levi Pierce; J Andrew McCammon
Journal:  J Phys Chem B       Date:  2012-02-14       Impact factor: 2.991

7.  Enhanced Lipid Diffusion and Mixing in Accelerated Molecular Dynamics.

Authors:  Yi Wang; Phineus R L Markwick; César Augusto F de Oliveira; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2011-08-24       Impact factor: 6.006

8.  E9-Im9 colicin DNase-immunity protein biomolecular association in water: a multiple-copy and accelerated molecular dynamics simulation study.

Authors:  Riccardo Baron; Sergio E Wong; Cesar A F de Oliveira; J Andrew McCammon
Journal:  J Phys Chem B       Date:  2008-12-25       Impact factor: 2.991

Review 9.  Accounting for receptor flexibility and enhanced sampling methods in computer-aided drug design.

Authors:  William Sinko; Steffen Lindert; J Andrew McCammon
Journal:  Chem Biol Drug Des       Date:  2013-01       Impact factor: 2.817

10.  Enhancing protein adsorption simulations by using accelerated molecular dynamics.

Authors:  Christian Mücksch; Herbert M Urbassek
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

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