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Force Field X: A computational microscope to study genetic variation and organic crystals using theory and experiment
Journal article   Open access   Peer reviewed

Force Field X: A computational microscope to study genetic variation and organic crystals using theory and experiment

Rose A Gogal, Aaron J Nessler, Andrew C Thiel, Hernan V Bernabe, Rae A Corrigan Grove, Leah M Cousineau, Jacob M Litman, Jacob M Miller, Guowei Qi, Matthew J Speranza, …
The Journal of chemical physics, Vol.161(1), 012501
07/07/2024
DOI: 10.1063/5.0214652
PMCID: PMC11223778
PMID: 38958156
url
https://doi.org/10.1063/5.0214652View
Published (Version of record) Open Access

Abstract

Force Field X (FFX) is an open-source software package for atomic resolution modeling of genetic variants and organic crystals that leverages advanced potential energy functions and experimental data. FFX currently consists of nine modular packages with novel algorithms that include global optimization via a many-body expansion, acid-base chemistry using polarizable constant-pH molecular dynamics, estimation of free energy differences, generalized Kirkwood implicit solvent models, and many more. Applications of FFX focus on the use and development of a crystal structure prediction pipeline, biomolecular structure refinement against experimental datasets, and estimation of the thermodynamic effects of genetic variants on both proteins and nucleic acids. The use of Parallel Java and OpenMM combines to offer shared memory, message passing, and graphics processing unit parallelization for high performance simulations. Overall, the FFX platform serves as a computational microscope to study systems ranging from organic crystals to solvated biomolecular systems.Force Field X (FFX) is an open-source software package for atomic resolution modeling of genetic variants and organic crystals that leverages advanced potential energy functions and experimental data. FFX currently consists of nine modular packages with novel algorithms that include global optimization via a many-body expansion, acid-base chemistry using polarizable constant-pH molecular dynamics, estimation of free energy differences, generalized Kirkwood implicit solvent models, and many more. Applications of FFX focus on the use and development of a crystal structure prediction pipeline, biomolecular structure refinement against experimental datasets, and estimation of the thermodynamic effects of genetic variants on both proteins and nucleic acids. The use of Parallel Java and OpenMM combines to offer shared memory, message passing, and graphics processing unit parallelization for high performance simulations. Overall, the FFX platform serves as a computational microscope to study systems ranging from organic crystals to solvated biomolecular systems.

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