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PyFrag 2019—Automating the exploration and analysis of reaction mechanisms
We present a substantial update to the PyFrag 2008 program, which was originally designed to perform a fragment‐based activation strain analysis along a provided potential energy surface. The original PyFrag 2008 workflow facilitated the characterization of reaction mechanisms in terms of the intrin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771738/ https://www.ncbi.nlm.nih.gov/pubmed/31165500 http://dx.doi.org/10.1002/jcc.25871 |
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author | Sun, Xiaobo Soini, Thomas M. Poater, Jordi Hamlin, Trevor A. Bickelhaupt, F. Matthias |
author_facet | Sun, Xiaobo Soini, Thomas M. Poater, Jordi Hamlin, Trevor A. Bickelhaupt, F. Matthias |
author_sort | Sun, Xiaobo |
collection | PubMed |
description | We present a substantial update to the PyFrag 2008 program, which was originally designed to perform a fragment‐based activation strain analysis along a provided potential energy surface. The original PyFrag 2008 workflow facilitated the characterization of reaction mechanisms in terms of the intrinsic properties, such as strain and interaction, of the reactants. The new PyFrag 2019 program has automated and reduced the time‐consuming and laborious task of setting up, running, analyzing, and visualizing computational data from reaction mechanism studies to a single job. PyFrag 2019 resolves three main challenges associated with the automated computational exploration of reaction mechanisms: it (1) computes the reaction path by carrying out multiple parallel calculations using initial coordinates provided by the user; (2) monitors the entire workflow process; and (3) tabulates and visualizes the final data in a clear way. The activation strain and canonical energy decomposition results that are generated relate the characteristics of the reaction profile in terms of intrinsic properties (strain, interaction, orbital overlaps, orbital energies, populations) of the reactant species. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-6771738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67717382019-10-07 PyFrag 2019—Automating the exploration and analysis of reaction mechanisms Sun, Xiaobo Soini, Thomas M. Poater, Jordi Hamlin, Trevor A. Bickelhaupt, F. Matthias J Comput Chem Software News and Updates We present a substantial update to the PyFrag 2008 program, which was originally designed to perform a fragment‐based activation strain analysis along a provided potential energy surface. The original PyFrag 2008 workflow facilitated the characterization of reaction mechanisms in terms of the intrinsic properties, such as strain and interaction, of the reactants. The new PyFrag 2019 program has automated and reduced the time‐consuming and laborious task of setting up, running, analyzing, and visualizing computational data from reaction mechanism studies to a single job. PyFrag 2019 resolves three main challenges associated with the automated computational exploration of reaction mechanisms: it (1) computes the reaction path by carrying out multiple parallel calculations using initial coordinates provided by the user; (2) monitors the entire workflow process; and (3) tabulates and visualizes the final data in a clear way. The activation strain and canonical energy decomposition results that are generated relate the characteristics of the reaction profile in terms of intrinsic properties (strain, interaction, orbital overlaps, orbital energies, populations) of the reactant species. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc. John Wiley & Sons, Inc. 2019-06-04 2019-09-30 /pmc/articles/PMC6771738/ /pubmed/31165500 http://dx.doi.org/10.1002/jcc.25871 Text en © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Software News and Updates Sun, Xiaobo Soini, Thomas M. Poater, Jordi Hamlin, Trevor A. Bickelhaupt, F. Matthias PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title | PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title_full | PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title_fullStr | PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title_full_unstemmed | PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title_short | PyFrag 2019—Automating the exploration and analysis of reaction mechanisms |
title_sort | pyfrag 2019—automating the exploration and analysis of reaction mechanisms |
topic | Software News and Updates |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771738/ https://www.ncbi.nlm.nih.gov/pubmed/31165500 http://dx.doi.org/10.1002/jcc.25871 |
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