Literature DB >> 21953558

Soft-core potentials in thermodynamic integration: comparing one- and two-step transformations.

Thomas Steinbrecher1, InSuk Joung, David A Case.   

Abstract

Molecular dynamics-based free energy calculations allow the determination of a variety of thermodynamic quantities from computer simulations of small molecules. Thermodynamic integration (TI) calculations can suffer from instabilities during the creation or annihilation of particles. This "singularity" problem can be addressed with "soft-core" potential functions which keep pairwise interaction energies finite for all configurations and provide smooth free energy curves. "One-step" transformations, in which electrostatic and van der Waals forces are simultaneously modified, can be simpler and less expensive than "two-step" transformations in which these properties are changed in separate calculations. Here, we study solvation free energies for molecules of different hydrophobicity using both models. We provide recommended values for the two parameters α(LJ) and β(C) controlling the behavior of the soft-core Lennard-Jones and Coulomb potentials and compare one- and two-step transformations with regard to their suitability for numerical integration. For many types of transformations, the one-step procedure offers a convenient and accurate approach to free energy estimates.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21953558      PMCID: PMC3187911          DOI: 10.1002/jcc.21909

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  13 in total

Review 1.  Free energy calculations and ligand binding.

Authors:  Bjørn O Brandsdal; Fredrik Osterberg; Martin Almlöf; Isabella Feierberg; Victor B Luzhkov; Johan Aqvist
Journal:  Adv Protein Chem       Date:  2003

2.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

3.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

4.  Accounting for polarization cost when using fixed charge force fields. I. Method for computing energy.

Authors:  William C Swope; Hans W Horn; Julia E Rice
Journal:  J Phys Chem B       Date:  2010-07-08       Impact factor: 2.991

5.  Solvation free energies of amino acid side chain analogs for common molecular mechanics water models.

Authors:  Michael R Shirts; Vijay S Pande
Journal:  J Chem Phys       Date:  2005-04-01       Impact factor: 3.488

6.  Characterization of the TIP4P-Ew water model: vapor pressure and boiling point.

Authors:  Hans W Horn; William C Swope; Jed W Pitera
Journal:  J Chem Phys       Date:  2005-11-15       Impact factor: 3.488

7.  Towards predictive ligand design with free-energy based computational methods?

Authors:  N Foloppe; R Hubbard
Journal:  Curr Med Chem       Date:  2006       Impact factor: 4.530

8.  Nonlinear scaling schemes for Lennard-Jones interactions in free energy calculations.

Authors:  Thomas Steinbrecher; David L Mobley; David A Case
Journal:  J Chem Phys       Date:  2007-12-07       Impact factor: 3.488

9.  Statistically optimal analysis of samples from multiple equilibrium states.

Authors:  Michael R Shirts; John D Chodera
Journal:  J Chem Phys       Date:  2008-09-28       Impact factor: 3.488

10.  Hamiltonian replica exchange molecular dynamics using soft-core interactions.

Authors:  Jozef Hritz; Chris Oostenbrink
Journal:  J Chem Phys       Date:  2008-04-14       Impact factor: 3.488

View more
  60 in total

1.  Theory of binless multi-state free energy estimation with applications to protein-ligand binding.

Authors:  Zhiqiang Tan; Emilio Gallicchio; Mauro Lapelosa; Ronald M Levy
Journal:  J Chem Phys       Date:  2012-04-14       Impact factor: 3.488

2.  Parametrization of halogen bonds in the CHARMM general force field: Improved treatment of ligand-protein interactions.

Authors:  Ignacio Soteras Gutiérrez; Fang-Yu Lin; Kenno Vanommeslaeghe; Justin A Lemkul; Kira A Armacost; Charles L Brooks; Alexander D MacKerell
Journal:  Bioorg Med Chem       Date:  2016-06-18       Impact factor: 3.641

3.  Toward Fast and Accurate Binding Affinity Prediction with pmemdGTI: An Efficient Implementation of GPU-Accelerated Thermodynamic Integration.

Authors:  Tai-Sung Lee; Yuan Hu; Brad Sherborne; Zhuyan Guo; Darrin M York
Journal:  J Chem Theory Comput       Date:  2017-06-23       Impact factor: 6.006

4.  Blinded prediction of protein-ligand binding affinity using Amber thermodynamic integration for the 2018 D3R grand challenge 4.

Authors:  Junjie Zou; Chuan Tian; Carlos Simmerling
Journal:  J Comput Aided Mol Des       Date:  2019-09-25       Impact factor: 3.686

5.  Structural study of the Fox-1 RRM protein hydration reveals a role for key water molecules in RRM-RNA recognition.

Authors:  Miroslav Krepl; Markus Blatter; Antoine Cléry; Fred F Damberger; Frédéric H T Allain; Jiri Sponer
Journal:  Nucleic Acids Res       Date:  2017-07-27       Impact factor: 16.971

6.  GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features.

Authors:  Tai-Sung Lee; David S Cerutti; Dan Mermelstein; Charles Lin; Scott LeGrand; Timothy J Giese; Adrian Roitberg; David A Case; Ross C Walker; Darrin M York
Journal:  J Chem Inf Model       Date:  2018-09-25       Impact factor: 4.956

7.  Exploring the Effectiveness of Binding Free Energy Calculations.

Authors:  Dibyendu Mondal; Jacob Florian; Arieh Warshel
Journal:  J Phys Chem B       Date:  2019-10-14       Impact factor: 2.991

8.  The importance of protonation and tautomerization in relative binding affinity prediction: a comparison of AMBER TI and Schrödinger FEP.

Authors:  Yuan Hu; Brad Sherborne; Tai-Sung Lee; David A Case; Darrin M York; Zhuyan Guo
Journal:  J Comput Aided Mol Des       Date:  2016-08-01       Impact factor: 3.686

9.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

10.  A fast and high-quality charge model for the next generation general AMBER force field.

Authors:  Xibing He; Viet H Man; Wei Yang; Tai-Sung Lee; Junmei Wang
Journal:  J Chem Phys       Date:  2020-09-21       Impact factor: 3.488

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.