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Journal ArticleDOI

g_mmpbsa--a GROMACS tool for high-throughput MM-PBSA calculations.

TLDR
A new tool, g_mmpbsa, which implements the MM-PBSA approach using subroutines written in-house or sourced from the GROMACS and APBS packages is described, and the calculated interaction energy of 37 structurally diverse HIV-1 protease inhibitor complexes is compared.
Abstract
Molecular mechanics Poisson–Boltzmann surface area (MM-PBSA), a method to estimate interaction free energies, has been increasingly used in the study of biomolecular interactions. Recently, this method has also been applied as a scoring function in computational drug design. Here a new tool g_mmpbsa, which implements the MM-PBSA approach using subroutines written in-house or sourced from the GROMACS and APBS packages is described. g_mmpbsa was developed as part of the Open Source Drug Discovery (OSDD) consortium. Its aim is to integrate high-throughput molecular dynamics (MD) simulations with binding energy calculations. The tool provides options to select alternative atomic radii and different nonpolar solvation models including models based on the solvent accessible surface area (SASA), solvent accessible volume (SAV), and a model which contains both repulsive (SASA-SAV) and attractive components (described using a Weeks–Chandler–Andersen like integral method). We showcase the effectiveness of the tool ...

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Journal ArticleDOI

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

TL;DR: The authors review the use of MM/PBSA and MM/GBSA methods to calculate ligand-binding affinities, with an emphasis on calibration, testing and validation, as well as attempts to improve the methods, rather than on specific applications.
Journal ArticleDOI

End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design

TL;DR: In this review, methods to adjust the polar solvation energy and to improve the performance of MM/PBSA and MM/GBSA calculations are reviewed and discussed and guidance is provided for practically applying these methods in drug design and related research fields.
Journal ArticleDOI

Recent Developments and Applications of the MMPBSA Method.

TL;DR: The methodology review covers solvation terms, the entropy term, extensions to membrane proteins and high-speed screening, and new automation toolkits, and recent applications in various important biomedical and chemical fields are reviewed.
Journal ArticleDOI

gmx_MMPBSA: A New Tool to Perform End-State Free Energy Calculations with GROMACS.

TL;DR: Gmx_MMPBSA as discussed by the authors is a new tool to perform end-state free energy calculations from GROMACS molecular dynamics trajectories, which provides the user with several options, including bounding free energy calculation with different solvation models (PB, GB, or 3D-RISM), stability calculations, computational alanine scanning, entropy corrections, and binding free energy decomposition.
References
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Journal ArticleDOI

Comparison of simple potential functions for simulating liquid water

TL;DR: In this article, the authors compared the Bernal Fowler (BF), SPC, ST2, TIPS2, TIP3P, and TIP4P potential functions for liquid water in the NPT ensemble at 25°C and 1 atm.
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Molecular dynamics with coupling to an external bath.

TL;DR: In this paper, a method is described to realize coupling to an external bath with constant temperature or pressure with adjustable time constants for the coupling, which can be easily extendable to other variables and to gradients, and can be applied also to polyatomic molecules involving internal constraints.
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Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

TL;DR: An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented based on interpolation of the reciprocal space Ewald sums and evaluation of the resulting convolutions using fast Fourier transforms.
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van der Waals Volumes and Radii

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Scalable molecular dynamics with NAMD

TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
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