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A rule-based algorithm for automatic bond type perception
Assigning bond orders is a necessary and essential step for characterizing a chemical structure correctly in force field based simulations. Several methods have been developed to do this. They all have advantages but with limitations too. Here, an automatic algorithm for assigning chemical connectiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557220/ https://www.ncbi.nlm.nih.gov/pubmed/23113939 http://dx.doi.org/10.1186/1758-2946-4-26 |
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author | Zhang, Qian Zhang, Wei Li, Youyong Wang, Junmei Zhang, Liling Hou, Tingjun |
author_facet | Zhang, Qian Zhang, Wei Li, Youyong Wang, Junmei Zhang, Liling Hou, Tingjun |
author_sort | Zhang, Qian |
collection | PubMed |
description | Assigning bond orders is a necessary and essential step for characterizing a chemical structure correctly in force field based simulations. Several methods have been developed to do this. They all have advantages but with limitations too. Here, an automatic algorithm for assigning chemical connectivity and bond order regardless of hydrogen for organic molecules is provided, and only three dimensional coordinates and element identities are needed for our algorithm. The algorithm uses hard rules, length rules and conjugation rules to fix the structures. The hard rules determine bond orders based on the basic chemical rules; the length rules determine bond order by the length between two atoms based on a set of predefined values for different bond types; the conjugation rules determine bond orders by using the length information derived from the previous rule, the bond angles and some small structural patterns. The algorithm is extensively evaluated in three datasets, and achieves good accuracy of predictions for all the datasets. Finally, the limitation and future improvement of the algorithm are discussed. |
format | Online Article Text |
id | pubmed-3557220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35572202013-01-31 A rule-based algorithm for automatic bond type perception Zhang, Qian Zhang, Wei Li, Youyong Wang, Junmei Zhang, Liling Hou, Tingjun J Cheminform Methodology Assigning bond orders is a necessary and essential step for characterizing a chemical structure correctly in force field based simulations. Several methods have been developed to do this. They all have advantages but with limitations too. Here, an automatic algorithm for assigning chemical connectivity and bond order regardless of hydrogen for organic molecules is provided, and only three dimensional coordinates and element identities are needed for our algorithm. The algorithm uses hard rules, length rules and conjugation rules to fix the structures. The hard rules determine bond orders based on the basic chemical rules; the length rules determine bond order by the length between two atoms based on a set of predefined values for different bond types; the conjugation rules determine bond orders by using the length information derived from the previous rule, the bond angles and some small structural patterns. The algorithm is extensively evaluated in three datasets, and achieves good accuracy of predictions for all the datasets. Finally, the limitation and future improvement of the algorithm are discussed. BioMed Central 2012-10-31 /pmc/articles/PMC3557220/ /pubmed/23113939 http://dx.doi.org/10.1186/1758-2946-4-26 Text en Copyright ©2012 Zhang et al.; licensee Chemistry Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Zhang, Qian Zhang, Wei Li, Youyong Wang, Junmei Zhang, Liling Hou, Tingjun A rule-based algorithm for automatic bond type perception |
title | A rule-based algorithm for automatic bond type perception |
title_full | A rule-based algorithm for automatic bond type perception |
title_fullStr | A rule-based algorithm for automatic bond type perception |
title_full_unstemmed | A rule-based algorithm for automatic bond type perception |
title_short | A rule-based algorithm for automatic bond type perception |
title_sort | rule-based algorithm for automatic bond type perception |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557220/ https://www.ncbi.nlm.nih.gov/pubmed/23113939 http://dx.doi.org/10.1186/1758-2946-4-26 |
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