Literature DB >> 21132839

A comparison of different initialization protocols to obtain statistically independent molecular dynamics simulations.

Samuel Genheden1, Ulf Ryde.   

Abstract

We study how the results of molecular dynamics (MD) simulations are affected by various choices during the setup, e.g., the starting velocities, the solvation, the location of protons, the conformation of His, Asn, and Gln residues, the protonation and titration of His residues, and the treatment of alternative conformations. We estimate the binding affinity of ligands to four proteins calculated with the MM/GBSA method (molecular mechanics combined with a generalized Born and surface area solvation energy). For avidin and T4 lysozyme, all variations gave similar results within 2 kJ/mol. For factor Xa, differences in the solvation or in the selection of alternative conformations gave results that are significantly different from those of the other approaches by 4-6 kJ/mol, whereas for galectin-3, changes in the conformations, rotations, and protonation gave results that differed by 10 kJ/mol, but only if residues close to the binding site were modified. This shows that the results of MM/GBSA calculations are reasonably reproducible even if the MD simulations are set up with different software. Moreover, we show that the sampling of phase space can be enhanced by solvating the systems with different equilibrated water boxes, in addition to the common use of different starting velocities. If different conformations are available in the crystal structure, they should also be employed to enhance the sampling. Protonation, ionization, and conformations of Asn, Gln, and His may also be used to enhance sampling, but great effort should be spent to obtain as reliable predictions as possible close to the active site.
Copyright © 2010 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21132839     DOI: 10.1002/jcc.21546

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


  19 in total

1.  Binding affinities in the SAMPL3 trypsin and host-guest blind tests estimated with the MM/PBSA and LIE methods.

Authors:  Paulius Mikulskis; Samuel Genheden; Patrik Rydberg; Lars Sandberg; Lars Olsen; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2011-12-25       Impact factor: 3.686

2.  MM/GBSA and LIE estimates of host-guest affinities: dependence on charges and solvation model.

Authors:  Samuel Genheden
Journal:  J Comput Aided Mol Des       Date:  2011-11-19       Impact factor: 3.686

3.  Free-energy perturbation and quantum mechanical study of SAMPL4 octa-acid host-guest binding energies.

Authors:  Paulius Mikulskis; Daniela Cioloboc; Milica Andrejić; Sakshi Khare; Joakim Brorsson; Samuel Genheden; Ricardo A Mata; Pär Söderhjelm; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2014-04-04       Impact factor: 3.686

4.  Binding free energies in the SAMPL6 octa-acid host-guest challenge calculated with MM and QM methods.

Authors:  Octav Caldararu; Martin A Olsson; Majda Misini Ignjatović; Meiting Wang; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2018-09-10       Impact factor: 3.686

Review 5.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.

Authors:  Samuel Genheden; Ulf Ryde
Journal:  Expert Opin Drug Discov       Date:  2015-04-02       Impact factor: 6.098

6.  Of mice and men: Dissecting the interaction between Listeria monocytogenes Internalin A and E-cadherin.

Authors:  Samuel Genheden; Leif A Eriksson
Journal:  Comput Struct Biotechnol J       Date:  2013-12-15       Impact factor: 7.271

7.  Binding affinities of the farnesoid X receptor in the D3R Grand Challenge 2 estimated by free-energy perturbation and docking.

Authors:  Martin A Olsson; Alfonso T García-Sosa; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2017-09-06       Impact factor: 3.686

8.  Assessing the stability of free-energy perturbation calculations by performing variations in the method.

Authors:  Francesco Manzoni; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2018-03-13       Impact factor: 3.686

9.  Ligand binding and dynamics of the monomeric epidermal growth factor receptor ectodomain.

Authors:  Hannes H Loeffler; Martyn D Winn
Journal:  Proteins       Date:  2013-08-19

10.  Converging ligand-binding free energies obtained with free-energy perturbations at the quantum mechanical level.

Authors:  Martin A Olsson; Pär Söderhjelm; Ulf Ryde
Journal:  J Comput Chem       Date:  2016-04-27       Impact factor: 3.376

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