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Fast, efficient fragment-based coordinate generation for Open Babel

Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformatics resear...

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Detalles Bibliográficos
Autores principales: Yoshikawa, Naruki, Hutchison, Geoffrey R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676618/
https://www.ncbi.nlm.nih.gov/pubmed/31372768
http://dx.doi.org/10.1186/s13321-019-0372-5
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author Yoshikawa, Naruki
Hutchison, Geoffrey R.
author_facet Yoshikawa, Naruki
Hutchison, Geoffrey R.
author_sort Yoshikawa, Naruki
collection PubMed
description Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformatics research. We introduce a fragment-based coordinate generation implementation for Open Babel, a widely-used open source toolkit for cheminformatics. The new implementation improves speed and stereochemical accuracy, while retaining or improving accuracy of bond lengths, bond angles, and dihedral torsions. Input molecules are broken into fragments by cutting at rotatable bonds. The coordinates of fragments are set according to a fragment library, prepared from open crystallographic databases. Since the coordinates of multiple atoms are decided at once, coordinate prediction is accelerated over the previous rules-based implementation in Open Babel, as well as the widely-used distance geometry methods in RDKit. This new implementation will be beneficial for a wide range of applications, including computational property prediction in polymers, molecular materials and drug design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-019-0372-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-66766182019-08-06 Fast, efficient fragment-based coordinate generation for Open Babel Yoshikawa, Naruki Hutchison, Geoffrey R. J Cheminform Software Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformatics research. We introduce a fragment-based coordinate generation implementation for Open Babel, a widely-used open source toolkit for cheminformatics. The new implementation improves speed and stereochemical accuracy, while retaining or improving accuracy of bond lengths, bond angles, and dihedral torsions. Input molecules are broken into fragments by cutting at rotatable bonds. The coordinates of fragments are set according to a fragment library, prepared from open crystallographic databases. Since the coordinates of multiple atoms are decided at once, coordinate prediction is accelerated over the previous rules-based implementation in Open Babel, as well as the widely-used distance geometry methods in RDKit. This new implementation will be beneficial for a wide range of applications, including computational property prediction in polymers, molecular materials and drug design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-019-0372-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-08-01 /pmc/articles/PMC6676618/ /pubmed/31372768 http://dx.doi.org/10.1186/s13321-019-0372-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Yoshikawa, Naruki
Hutchison, Geoffrey R.
Fast, efficient fragment-based coordinate generation for Open Babel
title Fast, efficient fragment-based coordinate generation for Open Babel
title_full Fast, efficient fragment-based coordinate generation for Open Babel
title_fullStr Fast, efficient fragment-based coordinate generation for Open Babel
title_full_unstemmed Fast, efficient fragment-based coordinate generation for Open Babel
title_short Fast, efficient fragment-based coordinate generation for Open Babel
title_sort fast, efficient fragment-based coordinate generation for open babel
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676618/
https://www.ncbi.nlm.nih.gov/pubmed/31372768
http://dx.doi.org/10.1186/s13321-019-0372-5
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