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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...

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Detalles Bibliográficos
Autores principales: Zhang, Qian, Zhang, Wei, Li, Youyong, Wang, Junmei, Zhang, Liling, Hou, Tingjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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