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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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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. |
format | Online Article Text |
id | pubmed-6676618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yoshikawanaruki fastefficientfragmentbasedcoordinategenerationforopenbabel AT hutchisongeoffreyr fastefficientfragmentbasedcoordinategenerationforopenbabel |