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Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

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Constant Pressure Path Integral Gibbs Ensemble Monte Carlo Method.

Piotr Kowalczyk¹, Piotr A Gauden², Artur P Terzyk²

¹Nanochemistry Research Institute, Department of Chemistry, Curtin University of Technology , P.O. Box U1987, Perth, 6845 Western Australia, Australia.

Journal of Chemical Theory and Computation

|November 20, 2015

Summary

This summary is machine-generated.

We developed a new simulation method for quantum fluids, called constant pressure path integral Gibbs ensemble Monte Carlo (CP-PIGEMC). This method accurately models para-hydrogen adsorption in zeolites, even at high pressures.

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Area of Science:

Computational physics and chemistry
Materials science and engineering
Quantum mechanics

Background:

Simulating quantum fluids like para-hydrogen is crucial for understanding adsorption in materials.
Accurate modeling is challenging, especially at high pressures and finite temperatures.
Existing methods may struggle with explicit chemical potential calculations.

Purpose of the Study:

To implement and validate a novel real-space constant pressure path integral Gibbs ensemble Monte Carlo (CP-PIGEMC) method.
To simulate the adsorption of para-hydrogen in NaX zeolite.
To develop optimized parameters for simulating hydrogen isotopes in zeolites.

Main Methods:

Implementation of the CP-PIGEMC method for one-component quantum fluids (Boltzmannons).
Application of CP-PIGEMC to para-H2 adsorption in NaX zeolite at 77 K and up to 100 bar.
Development and optimization of effective solid-fluid parameters for path integral simulations.

Main Results:

CP-PIGEMC simulations show excellent agreement with experimental data.
The method also agrees well with path integral grand canonical Monte Carlo (PIGCMC) simulations.
High accuracy was maintained even at elevated pressures.

Conclusions:

CP-PIGEMC is a robust and accurate method for simulating quantum fluids composed of Boltzmannons.
This method is particularly advantageous when chemical potential is difficult to determine.
The developed parameters enhance simulations of hydrogen isotope adsorption and separation in zeolites.