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Rapid Automated Quantification of Triacylglyceride Crystallinity in Molecular Dynamics Simulations
[Image: see text] The relative stability of crystalline polymorphs and the transition between crystalline and melt phases are key parameters in determining the physical properties of triacylglycerides used in food. However, while the determination of properties experimentally is well-defined, the ab...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709910/ https://www.ncbi.nlm.nih.gov/pubmed/36332114 http://dx.doi.org/10.1021/acs.jcim.2c00972 |
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author | Cordina, Robert J. Smith, Beccy Tuttle, Tell |
author_facet | Cordina, Robert J. Smith, Beccy Tuttle, Tell |
author_sort | Cordina, Robert J. |
collection | PubMed |
description | [Image: see text] The relative stability of crystalline polymorphs and the transition between crystalline and melt phases are key parameters in determining the physical properties of triacylglycerides used in food. However, while the determination of properties experimentally is well-defined, the ability to predict the onset of melting and discriminate between polymorphs is less well-defined within a molecular dynamics simulation environment. In this work, we present metrics for measuring the crystallinity, including a new metric, the near-neighbor occupancy time, giving a rapid determination of how many, and which, molecules are found in a crystal over a simulation trajectory, and the polymorphic determination of triacylglycerides over a simulation trajectory. |
format | Online Article Text |
id | pubmed-9709910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97099102022-12-01 Rapid Automated Quantification of Triacylglyceride Crystallinity in Molecular Dynamics Simulations Cordina, Robert J. Smith, Beccy Tuttle, Tell J Chem Inf Model [Image: see text] The relative stability of crystalline polymorphs and the transition between crystalline and melt phases are key parameters in determining the physical properties of triacylglycerides used in food. However, while the determination of properties experimentally is well-defined, the ability to predict the onset of melting and discriminate between polymorphs is less well-defined within a molecular dynamics simulation environment. In this work, we present metrics for measuring the crystallinity, including a new metric, the near-neighbor occupancy time, giving a rapid determination of how many, and which, molecules are found in a crystal over a simulation trajectory, and the polymorphic determination of triacylglycerides over a simulation trajectory. American Chemical Society 2022-11-04 2022-11-28 /pmc/articles/PMC9709910/ /pubmed/36332114 http://dx.doi.org/10.1021/acs.jcim.2c00972 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Cordina, Robert J. Smith, Beccy Tuttle, Tell Rapid Automated Quantification of Triacylglyceride Crystallinity in Molecular Dynamics Simulations |
title | Rapid Automated
Quantification of Triacylglyceride
Crystallinity in Molecular Dynamics Simulations |
title_full | Rapid Automated
Quantification of Triacylglyceride
Crystallinity in Molecular Dynamics Simulations |
title_fullStr | Rapid Automated
Quantification of Triacylglyceride
Crystallinity in Molecular Dynamics Simulations |
title_full_unstemmed | Rapid Automated
Quantification of Triacylglyceride
Crystallinity in Molecular Dynamics Simulations |
title_short | Rapid Automated
Quantification of Triacylglyceride
Crystallinity in Molecular Dynamics Simulations |
title_sort | rapid automated
quantification of triacylglyceride
crystallinity in molecular dynamics simulations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709910/ https://www.ncbi.nlm.nih.gov/pubmed/36332114 http://dx.doi.org/10.1021/acs.jcim.2c00972 |
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