GIBS: A grand-canonical Monte Carlo simulation program for simulating ion-biomolecule interactions
Dennis G. Thomas, Nathan A. Baker

TL;DR
GIBS is a new grand-canonical Monte Carlo simulation software designed to accurately model ion distributions and thermodynamic properties around biomolecules, aiding understanding of ionic effects in biological systems.
Contribution
The paper introduces GIBS, a novel GCMC simulation program with advanced algorithms for ion and solvent sampling, specifically tailored for dense ionic biomolecular environments.
Findings
Successfully computed ion excess chemical potentials for NaCl.
Generated radial distribution functions for various ions around nucleic acids.
Demonstrated high sampling efficiency with cavity-bias algorithm.
Abstract
The ionic environment of biomolecules strongly influences their structure, conformational stability, and inter-molecular interactions.This paper introduces GIBS, a grand-canonical Monte Carlo (GCMC) simulation program for computing the thermodynamic properties of ion solutions and their distributions around biomolecules. This software implements algorithms that automate the excess chemical potential calculations for a given target salt concentration. GIBS uses a cavity-bias algorithm to achieve high sampling acceptance rates for inserting ions and solvent hard spheres in simulating dense ionic systems. In the current version, ion-ion interactions are described using Coulomb, hard-sphere, or Lennard-Jones (L-J) potentials; solvent-ion interactions are described using hard-sphere, L-J and attractive square-well potentials; and, solvent-solvent interactions are described using hard-sphere…
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Taxonomy
TopicsDNA and Nucleic Acid Chemistry · Spectroscopy and Quantum Chemical Studies · Mass Spectrometry Techniques and Applications
